Senior Data Architect

As one of the nation’s Top 15 Health Systems, recognized by Premier and Modern Healthcare, Valley Health is a place where excellence, compassion, and purpose come together. This distinction reflects our commitment to exceptional patient care, clinical quality, and the caregivers who make it all possible. DepartmentINFORMATION SYSTEMS - 108231Worker Sub TypeRegularWork ShiftFirst Shift (United States of America)Pay Range$52.00 - $81.32Job DescriptionJob DescriptionThe Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. BenefitsAt Valley Health, we believe everyone is a caregiver, and our goal is to create an environment where our caregivers thrive physically, financially, and emotionally. In addition to a competitive salary, our most popular benefits for full-time employees include:A Zero-Deductible Health PlanDental and vision insuranceGenerous Paid Time OffTuition AssistanceRetirement Savings MatchA Robust Employee Assistance Program to help with many aspects of emotional wellbeingMembership to Healthy U: An Incentive-Based Wellness ProgramValley Health also offers a health savings account & flexible spending account for childcare, life insurance, short-term and long-term disability, and professional development. In addition, several perks come with working for the largest employer in the region, such as discounts to on-campus dining, and more.To see the full scale of what we offer, visit valleyhealthbenefits.com. As one of the nation’s Top 15 Health Systems, recognized by Premier and Modern Healthcare, Valley Health is a place where excellence, compassion, and purpose come together. This distinction reflects our commitment to exceptional patient care, clinical quality, and the caregivers who make it all possible. DepartmentINFORMATION SYSTEMS - 108231Worker Sub TypeRegularWork ShiftFirst Shift (United States of America)Pay Range$52.00 - $81.32Job DescriptionJob DescriptionThe Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. BenefitsAt Valley Health, we believe everyone is a caregiver, and our goal is to create an environment where our caregivers thrive physically, financially, and emotionally. In addition to a competitive salary, our most popular benefits for full-time employees include:A Zero-Deductible Health PlanDental and vision insuranceGenerous Paid Time OffTuition AssistanceRetirement Savings MatchA Robust Employee Assistance Program to help with many aspects of emotional wellbeingMembership to Healthy U: An Incentive-Based Wellness ProgramValley Health also offers a health savings account & flexible spending account for childcare, life insurance, short-term and long-term disability, and professional development. In addition, several perks come with working for the largest employer in the region, such as discounts to on-campus dining, and more.To see the full scale of what we offer, visit valleyhealthbenefits.com. Job Description Job Description The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills. The Senior Data Architect is responsible for designing, implementing, and managing the data architecture that supports Valley Health System (VHS) analytics and business intelligence initiatives within the healthcare sector. This role requires a deep understanding of data modeling, data integration, and data warehousing, as well as the ability to work collaboratively with cross-functional teams to deliver high-quality data solutions. The Senior Data Architect is responsible for designing and implementing enterprise data architecture that supports advanced analytics, clinical decision-making, population health, finance, revenue cycle, planning, and regulatory compliance. This role ensures that data systems are scalable, secure, and aligned with healthcare-specific goals, enabling data-driven insights across clinical, operational, and financial domains. Responsibilities and DutiesArchitecture Design: Develops and maintains robust data architectures (cloud and on-prem) that support analytics, reporting, and operational workflows and integrate EHR/EMR systems (e.g., Epic, Cerner), claims data, HL7/FHIR interfaces, and patient-reported outcomes.Data Modeling: Creates and manages conceptual, logical, and physical data models that reflect business processes and analytical needs. ETL & Data Integration: Designs and oversees ETL pipelines and data integration strategies to ensure efficient, accurate, and timely data flow from diverse sources. Data Governance & Quality: Defines and enforces data standards, metadata management, and data quality frameworks to ensure trust in enterprise data assets. Implements frameworks to ensure HIPAA compliance, PHI protection, and adherence to ONC/CMS interoperability rules. Collaboration: Partners with data engineers, BI developers, analysts, and business stakeholders to translate business requirements into scalable data solutions. Security & Compliance: Implements data security protocols, access controls, and compliance measures (e.g., HIPAA, GDPR) to protect sensitive information. Terminology & Standards: Normalizes data using SNOMED CT, LOINC, ICD-10, CPT, and RxNorm to support semantic interoperability. Performance Optimization: Continuously monitors and enhances data system performance, including indexing, partitioning, and query tuning. Documentation & Communication: Maintains comprehensive documentation of data architecture, lineage, and best practices; communicate technical concepts to non-technical audiences. EducationBachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.Experience7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.Experience leading projects involving data warehousing, data modeling, and data analysis is required. Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required. Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required. Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required. Qualification/Skills Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP). Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS). Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations. Strong understanding of data governance, security, and compliance frameworks. Excellent communication and stakeholder engagement skills.

Bachelor’s degree in a quantitative-oriented field such as Business, Economics, Statistics, Biostatistics, Epidemiology, Information Technology, or Healthcare Administration or commensurate years of experience, is required.

Experience

7+ years of relevant experience in design and implementation of data models for enterprise data warehouse initiatives is required.

Experience leading projects involving data warehousing, data modeling, and data analysis is required.

Experience with healthcare interoperability standards (FHIR, HL7, CCD) is required.

Experience with Epic Caboodle, Clarity, or other clinical data warehouses is required.

Experience with modern data platforms (e.g., Snowflake, Databricks), ETL tools (e.g., SSIS, Informatica), and BI tools (e.g., Power BI, Tableau) is required.

Qualification/Skills

Proficiency in SQL, Python, and cloud platforms (Azure, AWS, GCP).

Proficiency in data modeling tools, SQL, and cloud platforms (e.g., Azure, AWS).

Strong understanding of HIPAA, HITECH, and healthcare data privacy regulations.

Strong understanding of data governance, security, and compliance frameworks.

Excellent communication and stakeholder engagement skills.

At Valley Health, we believe everyone is a caregiver, and our goal is to create an environment where our caregivers thrive physically, financially, and emotionally. In addition to a competitive salary, our most popular benefits for full-time employees include:

• A Zero-Deductible Health Plan
• Dental and vision insurance
• Generous Paid Time Off
• Tuition Assistance
• Retirement Savings Match
• A Robust Employee Assistance Program to help with many aspects of emotional wellbeing
• Membership to Healthy U: An Incentive-Based Wellness Program

Valley Health also offers a health savings account & flexible spending account for childcare, life insurance, short-term and long-term disability, and professional development. In addition, several perks come with working for the largest employer in the region, such as discounts to on-campus dining, and more.

To see the full scale of what we offer, visit valleyhealthbenefits.com.

As one of the nation’s Top 15 Health Systems, recognized by Premier and Modern Healthcare, Valley Health is a place where excellence, compassion, and purpose come together. This distinction reflects our commitment to exceptional patient care, clinical quality, and the caregivers who make it all possible.