Platform Engineer

• Design, implement, and maintain traditional and modern data infrastructures at staff level
• Combine relational database, cloud, and big data expertise to create scalable, efficient, and secure data solutions
• Develop strategies for enterprise data integration, data quality, and optimized data access across cloud and on-premise systems
• Deliver data models, pipelines, and warehouses using SQL, Python, PySpark, and traditional RDBMS platforms
• Design, build, and extend enterprise data governance platform capabilities
• Build integrations across governance, data, analytics, AI, and operational platforms
• Engineer metadata, lineage, observability, and catalog capabilities
• Automate governance controls, workflows, policy enforcement, exception management, and audit evidence collection
• Apply AI, LLM, and agentic technologies to governance operations
• Establish trustworthy engineering practices for AI-enabled governance, including evaluation, quality measurement, monitoring, and continuous improvement
• Deliver secure and governed platform services supporting analytics, AI agents, applications, and data products
• Build stewardship tooling, workflow management, governance coverage reporting, operational dashboards, and scalability mechanisms
• Partner with architecture, governance, analytics, engineering, cybersecurity, and vendor teams
• Own platform capability lifecycle from design and deployment through monitoring, support, and continuous enhancement

Explore Data and AI Platform Engineer at IMH. Review requirements and application details.