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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect-Consultant - **Company:** Intermountain Health - **Location:** Springfield, IL, United States (Remote available) - **Experience:** Experienced - **Salary:** $126,194.0 - $198,682.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Computer Programming, Databases, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Relational Databases, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Power BI, SQL Databases, SQL Server Integration Services, Data Streaming, Tableau (Software), Data Processing, Google Cloud, Azure Data Factory, Apache Spark, Data Lakes, AngularJS, Pyspark, Information Technology, Real Time Data, Apache Kafka, Data Management, Intersystems, Api Design, Epic Bridges, Looker Analytics, Software Version Control, Databricks, Programming Languages - **Published:** September 20, 2026 - **Apply:** https://dejobs.org/x/x/FC987DD419044F25AD4AE5DB14AF43E7/job/ ## About the Role Preferred skills: IRIS Intersystems tools and administration, Cache ObjectScript development, source-control tools and strategies, Angular development, real-time data integration strategies, Epic Bridges non-standard real-time integrations working across HIEs, external integrations, * Expert proficiency with SQL and extensive experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL). * Extensive experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions. * Mastery of programming languages such as Python and PySpark for data engineering tasks. * In-depth knowledge of ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and cloud-native solutions (e.g., Azure Data Factory, Databricks). * Outstanding communication skills for collaborating with stakeholders and teams. * Expert understanding of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data architecture projects to ensure alignment with business goals and efficient execution. * Demonstrated ability to stay updated on industry trends and advancements. * Proven experience in providing mentorship and guidance to junior and senior architects., * A Master's Degree in an analytics-related field such as information systems, data science / analytics, statistics, computer science, mathematics and 4 years of experience. * or * 8 years of professional experience in analytics role in an analytics-related field such as statistics, mathematics, information systems, computer science, data science / analytics. * or * Bachelors degree in an analytics-related field such as information systems, data science / analytics, statistics, computer science, mathematics. With 6 years of experience * Experience with Databricks, Apache Spark, and Delta Lake for real-time and batch data processing. * Proficiency in data streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs. * Experience working with APIs to retrieve and integrate data from external systems. * Experience developing APIs to provide data as a product. * Familiarity with CI/CD pipelines for data engineering workflows. * Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). * Experience in a healthcare environment * Familiarity with business intelligence tools such as Tableau, Power BI, or Looker for delivering insights from data architectures Physical Requirements * Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment. ## Description The purpose of the Data Architect - Consultant role is to lead the design, implementation, and management of complex data infrastructures across multiple projects. This role combines deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. The Data Architect - Consultant also provides leadership and direction on enterprise-level data integration strategies and mentors staff and senior team members in developing high-quality data architectures and pipelines across cloud and on-premise systems, * Lead the design, implementation, and management of complex data infrastructures across multiple projects. * Combine deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. * Manage multiple complex projects simultaneously, working closely with senior and staff data architects/data engineers to ensure successful delivery. * Provides leadership and direction on enterprise-level data integration strategies and mentors staff and senior team members in developing high-quality data architectures and pipelines across cloud and on-premise systems. Skills * Data architecture and design * Cloud infrastructure and data solutions * ETL/ELT development and data integration * Database and performance optimization * Data modeling and documentation * Coding/Programming * Data governance and security * Collaboration and stakeholder management * Leadership and project management, The primary intent of this job description is to set a fair and equitable rate of pay for this classification. Only those key duties necessary for proper job evaluation and/or labor market analysis have been included. Other duties may be assigned by the supervisor. ## 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) - [How to Stop Choosing JavaScript Frameworks and Start Living](https://www.wearedevelopers.com/videos/118-how-to-stop-choosing-javascript-frameworks-and-start-living) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)