Senior Data Platform Engineer (Analytics & AI)

Role overview Build and run the data platform that supports business reporting and AI-enabled tools. As the first dedicated data engineering hire, you’ll take ownership of a Microsoft Fabric lakehouse and a DOMO reporting environment, organize data so teams and agents can use it safely, and recommend improvements from design through production operations.

Responsibilities - Operate Microsoft Fabric lakehouses, mirrors, notebooks, and pipelines, including reliability, monitoring, and capacity costs. - Administer DOMO and move reporting to curated Fabric tables with consistent metric definitions. - Model and document datasets, field meanings, and data contracts for reporting and AI agent use. - Build and maintain APIs and MCP connectors, with defined tool schemas, permissions, and logging. - Assess architecture and tooling, explain costs and trade-offs, and implement approved changes. - Apply data security and governance practices, including least-privilege access, PII handling, quality checks, lineage, and privacy controls. - Use version control, code review, and pull requests in Bitbucket and Azure DevOps.

Requirements - Six or more years of cloud data engineering, including running a production platform other teams rely on. - Hands-on Microsoft Fabric experience, or deep Synapse or Databricks experience and readiness to develop Fabric expertise. - Experience taking platform changes from recommendation and design through implementation and ongoing operation. - Strong SQL and Python, including PySpark, plus data modeling for lakehouses and reporting. - BI administration experience; DOMO is preferred, with Power BI acceptable. - Understanding of how AI agents use data, such as through retrieval-augmented generation, embeddings, semantic metadata, APIs, or MCP tools. - Azure fundamentals and data security knowledge, including Entra ID, Key Vault, role-based access, row-level security, and PII handling. - A relevant bachelor’s degree or equivalent experience; clear communication, regular documentation, and familiarity with AI coding tools.

Nice to have Azure AI Foundry or another agent platform, MCP server development, learning or assessment data, and Microsoft DP-700 certification.

Benefits and work setup Fully remote, long-term opportunity.