Senior Data Platform Engineer (Analytics & AI)

Responsibilities

• Own the Microsoft Fabric platform end-to-end, including reliability, monitoring and capacity cost
• Administer DOMO and move reporting onto curated Fabric tables with one metric definition
• Model, organize and document data for AI agents in Azure AI Foundry
• Build and maintain MCP server and API connectors with permission scopes and logging
• Assess current setup and propose architecture changes, then move approved ones to production
• Secure and govern data: least-privilege access, PII handling, lineage and compliance
• Work with Git, code review and pull requests in Bitbucket and Azure DevOps

Requirements

• 6+ years of data engineering on a cloud data platform
• Hands-on Microsoft Fabric, or deep Synapse or Databricks experience
• Strong SQL and Python (PySpark)
• Data modeling for lakehouse and reporting
• BI platform administration, DOMO preferred, Power BI acceptable
• Working knowledge of RAG, embeddings, semantic metadata, APIs or MCP servers
• Azure fundamentals and data security: Entra ID, Key Vault, RBAC, row-level security
• Experience running a production data platform that other teams depend on
• BA/BS in Computer Science, Information Systems or related, or equivalent experience

Preferred Qualifications

• Azure AI Foundry or a similar agent platform
• MCP server development
• Learning or assessment data
• Microsoft DP-700 certification

About the Company

E-learning provider for professionals in regulated industries such as healthcare and finance, with Agile-first distributed teams.