Data and AI Platform Engineer

11400 Information Systems; United States; On-site; USD 61,000 - 95,000; Full time

Benefits offered by this job

Generous benefits package

Wellness and well-being culture

Job summary

Intermountain Health is seeking a staff-level Data Architect/Engineer to design, implement, and maintain modern data infrastructures across cloud and on-premise environments. You will work on scalable data models, pipelines, and warehouses using SQL, Python, PySpark, and traditional RDBMS platforms.

You will collaborate with data governance, analytics, and engineering teams, applying governance automation and AI-enabled approaches to ensure data quality and security across enterprise data assets.

Qualifications

• Proficiency with SQL and experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL).
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions.
• Strong familiarity with programming languages such as Python and PySpark for data engineering tasks.
• Working experience with ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and/or cloud-native solutions (e.g., Azure Data Factory, Databricks).
• Proficiency with Python or PySpark or R programming
• Excellent communication skills for collaborating with stakeholders and teams.
• Proficiency in 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.

Responsibilities

• Design, implement, and maintain data infrastructures fostering scalability and security.
• Integrate enterprise data across cloud and on-premise systems.
• Collaborate with stakeholders to align data architecture with business goals.
• Develop robust data models, pipelines, and warehouses using SQL, Python, PySpark, and RDBMS.
• Mentor staff-level engineers and drive governance and best practices.

Skills

Data architecture and design

Cloud infrastructure and data soluções

ETL/ELT development and data ingestion

Database and performance optimization

Data modeling and documentation

Coding/Programming

Data governance and security

Collaboration and stakeholder mgmt

Leadership and project management

Tools

SSIS

Informatica

Azure Data Factory

Databricks

Job description

Essential Functions

• Responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level.
• Combines expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions.
• Develops strategies for integrating enterprise data, ensuring data quality, and optimizing data access across both cloud and on-premise systems.
• Works on moderate to complex projects and is mentored by senior-level data architects/engineers to deliver robust data models, pipelines, and warehouses that meet organizational needs using technologies like SQL, Python, PySpark, and traditional RDBMS platforms.

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

Minimum Qualifications

• Proficiency with SQL and experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL).
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions.
• Strong familiarity with programming languages such as Python and PySpark for data engineering tasks.
• Working experience with ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and/or cloud-native solutions (e.g., Azure Data Factory, Databricks).
• Proficiency with Python or PySpark or R programming
• Excellent communication skills for collaborating with stakeholders and teams.
• Proficiency in 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.

Preferred Qualifications

• Design, build, and extend platform capabilities that enable enterprise data governance, including metadata management, lineage, stewardship, policy enforcement, and governance automation beyond vendor-provided functionality.
• Build and maintain integrations between governance, data, analytics, AI, and operational platforms so metadata, classifications, ownership, quality signals, and governance decisions remain synchronized across the enterprise ecosystem.
• Engineer the metadata, lineage, observability, and catalog capabilities of the Enterprise Data Platform, making enterprise data assets discoverable, understandable, traceable, and trusted for analytics, operations, and AI workloads.
• Automate governance controls within the platform, including ownership assignment, certification, review workflows, policy enforcement, exception management, and audit evidence collection to reduce manual effort and improve compliance.
• Apply AI, LLM, and agentic technologies to scale governance operations, including metadata generation, business glossary enrichment, data classification, stewardship recommendations, data quality monitoring, and intelligent remediation workflows.
• Establish and operate the engineering practices that make AI-enabled governance trustworthy, including grounding on authoritative metadata, evaluation frameworks, quality measurement, confidence thresholds, monitoring, and continuous improvement.
• Deliver secure and governed platform services that support analytics, AI agents, applications, and data products, ensuring enterprise standards for security, privacy, governance, and responsible AI are consistently applied.
• Build platform capabilities that increase the effectiveness and reach of data stewards and governance programs, including workflow management, stewardship tooling, governance coverage reporting, operational dashboards, and scalability mechanisms.
• Partner with data architecture, governance, analytics, engineering, cybersecurity, and vendor teams to translate governance objectives into sustainable platform capabilities, owning the full lifecycle from design and deployment through monitoring, support, and continuous enhancement.

Physical Requirements

• Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

Location

• Transformation Center
• Murray
• Utah
• Scheduled Weekly Hours: 40
• The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $44.36 - $69.85

Benefits

• We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.
• Learn more about our comprehensive benefits package here.

By applying for a position with Intermountain, I acknowledge that I will comply with all applicable Intermountain policies and expectations. If applying for a remote or hybrid role, this includes remote work expectations related to confidentiality, information security, work schedules, conflicts of interest, and use of company equipment. I further acknowledge that outside employment or activities may not interfere with job responsibilities or create a conflict of interest with Intermountain. Actual or reasonably perceived conflicts may be grounds for disqualification from consideration or, if hired, corrective action up to and including termination of employment.

Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment.

All positions subject to close without notice.

Headquartered in Utah with locations in six primary states and additional operations across the western U.S., Intermountain Health is a nonprofit system of 34 hospitals, 400+ clinics, a medical group of more than 4,800 employed physicians and advanced care providers, a health plan division called Select Health with more than one million members, and other health services. Helping people live the healthiest lives possible, Intermountain is widely recognized as a leader in clinical quality improvement and efficient healthcare delivery.