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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Digital Medicine Data Architect - **Company:** Ochsner Health - **Location:** New Orleans, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Artificial Intelligence, Amazon Web Services, ASC X12 Standards, Microsoft Azure, Information Systems, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Dimensional Modeling, Interoperability, Machine Learning, Performance Tuning, Power BI, SQL Databases, Tableau (Software), Google Cloud, Azure Data Factory, Sql Optimization, Fast Healthcare Interoperability Resources, Snowflake, Pyspark, Information Technology, Health Level Seven International, Data Management, Data Pipelines, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/95f63ffa-780f-400d-9730-18be2eadfca1 ## About the Role * Required - Bachelor's Computer Science, Information Systems, Data Science, or related field. * Preferred - Master's Work Experience * Required - 7 years data architecture, data engineering, or advanced analytics roles within a healthcare environments. * Preferred - 10 years in healthcare, with a strong understanding of healthcare data standards and interoperability frameworks (e.g., HL7, FHIR, X12). Hands on experience with Erwin or other data modeling tools. Excellent communication, facilitation, and technical documentation skills, with the ability to convey complex data concepts to both technical and non technical audiences. Certifications * Preferred - Certified Data Management Professional (CDMP) * Preferred - AWS/Azure Data Architect Certification * Preferred - Healthcare-specific certification (e.g. CHDA - Certified Health Data Analyst) Knowledge Skills and Abilities (KSAs) * Expertise in SQL, ETL tools, and data modeling. Familiarity with BI tools (Power BI, Tableau) and advanced analytics frameworks. * Excellent communication and stakeholder management skills. Ability to build trusted relationships. * Skilled at presenting to stakeholders across all organizational levels to strengthen alignment and understanding of analytics strategy and results. * Expertise in Data Architecture and Data Modeling (conceptual, logical, and physical), including dimensional modeling and Master Data Management (MDM). * Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud Platform, and modern data technologies including Snowflake, Databricks, and ETL/ELT tools such as Azure Data Factory, dbt, and PySpark. * Strong understanding of healthcare data domains, including payer and provider data, clinical workflows, interoperability standards, and regulatory requirements. * Advanced SQL skills, with experience in performance tuning and cost optimization in cloud data warehouse and lakehouse environments. ## Description * Develops and maintains scalable data architecture frameworks that support enterprise analytics and reporting. * Designs clinical, operational, and financial data models that comply with healthcare interoperability standards (e.g., HL7, FHIR). * Establishes and implements best practices for data governance, data quality, and lifecycle management. * Builds and optimizes data pipelines that support advanced analytics, machine learning, and AI initiatives. * Partners with data scientists and analysts to ensure high-quality, accessible data for predictive modeling and population health use cases. * Evaluates, recommends, and implements modern data platforms, including cloud data lakes and data warehouse architectures. * Integrates data from diverse sources such as EHRs, claims systems, patient engagement tools, and IoT devices. * Ensures adherence to HIPAA, HITECH, and other regulatory requirements governing healthcare data privacy and security. * Implements robust security practices, including access controls, data encryption, and auditing mechanisms. * Collaborates with IT, clinical, and business teams to align data architecture strategies with organizational priorities. * Provides technical leadership, guidance, and mentorship to data engineering and analytics teams. * Performs other duties as assigned * Complies with all policies and standards The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time. Remains knowledgeable on current federal, state and local laws, accreditation standards or regulatory agency requirements that apply to the assigned area of responsibility and ensures compliance with all such laws, regulations and standards. This employer maintains and complies with its Compliance & Privacy Program and Standards of Conduct, including the immediate reporting of any known or suspected unethical or questionable behaviors or conduct; patient/employee safety, patient privacy, and/or other compliance-related concerns. The employer is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. Physical and Environmental Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Sedentary Work- Exerting up to 10 pounds of force occasionally (occasionally means activity or conditions exist up to 1/3 of the work day), and/or, a negligible amount of force frequently (frequently means activity or condition exists from 1/3 to 2/3 of the work day) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met. Normal routine involves no exposure to blood, body fluid or tissue and as part of their employment, incumbents are not called upon to perform or assist in emergency care or first aid. The incumbent has no occupational risk for exposure to communicable diseases . Because the incumbent works within a healthcare setting, there may be occupational risk for exposure to hazardous medications or hazardous waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning and/or disposal of contaminated waste. The risk level of exposure may increase depending on the essential job duties of the role. Are you ready to make a difference? Apply Today! Ochsner Health does not consider an individual an applicant until they have formally applied to the open position on this careers website. Please refer to the job description to determine whether the position you are interested in is remote or on-site. Individuals who reside in and will work from the following areas are not eligible for remote work position: Colorado, California, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington, and Washington D.C. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)