About the role
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.