Data and AI Platform Engineer

This is a fully remote position, open to applicants in Utah.

📋 Description

• Design, implement, and maintain both traditional and modern data infrastructures at the staff level.

• Integrate expertise in relational databases, cloud technologies, and big data to develop scalable, efficient, and secure data solutions.

• Formulate strategies for enterprise-level data integration, ensuring data quality and optimized access across both cloud and on-premise environments.

• Create and deliver data models, pipelines, and warehouses utilizing SQL, Python, PySpark, and established RDBMS platforms.

• Design, construct, and enhance the capabilities of the enterprise data governance platform.

• Develop integrations across governance, data, analytics, AI, and operational platforms.

• Engineer capabilities for metadata, lineage, observability, and cataloging.

• Automate governance controls, workflows, policy enforcement, exception management, and the collection of audit evidence.

• Leverage AI, LLM, and agentic technologies to improve governance operations.

• Establish reliable engineering practices for AI-enabled governance, focusing on evaluation, quality measurement, monitoring, and continuous improvement.

• Provide secure and governed platform services that support analytics, AI agents, applications, and data products.

• Create tools for stewardship, manage workflows, report on governance coverage, develop operational dashboards, and implement scalability mechanisms.

• Collaborate with architecture, governance, analytics, engineering, cybersecurity, and vendor teams.

• Manage the lifecycle of platform capabilities from design and deployment through to monitoring, support, and ongoing enhancements.

⛳️ Requirements

• Expertise in SQL and traditional RDBMS, including Oracle, SQL Server, or PostgreSQL.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud for data architecture and storage solutions.

• Strong knowledge of Python and PySpark.

• Familiarity with ETL/ELT processes and tools, including SSIS, Informatica, Azure Data Factory, or Databricks.

• Proficiency in Python, PySpark, or R programming.

• Exceptional communication skills for effective collaboration with stakeholders and team members.

• Knowledge of Product Management, Project Management, or Program Management philosophies and methodologies.

• Capability to apply management methodologies to data architecture projects.

• Ability to manage moderate to complex projects.

• Compliance with Intermountain policies and expectations, including confidentiality, information security, work schedules, conflicts of interest, and equipment requirements for remote or hybrid roles.

• Candidates must reside outside the excluded states: California, Connecticut, Hawaii, Illinois, Massachusetts, Minnesota, New York, Pennsylvania, Rhode Island, Vermont, Virginia, and Washington; Colorado eligibility is limited as outlined in the posting.

• Video interviews through Microsoft Teams are required, with the possibility of onsite interviews and meetings.

• Capability to remain seated or standing for extended periods while using a computer, telephone, or other equipment.

🏝️ Benefits

• Comprehensive benefits package that includes programs focused on wellness, health, security, connection, and engagement.

• Remote work options available where approved and mentioned in the job posting.

• Company-provided equipment and remote-work support in accordance with company policies.