Senior Data & AI Engineer - Managed Services
Core
Lead a collaborative effort supporting multiple clients' Azure Data platform, Databricks, and/or Fabric/PowerBI environments, ensuring prompt responses to escalations while analyzing and resolving incidents.
Role type
Senior Managed Services Data & AI Engineer
Builds
Client data environments on Microsoft Azure and Fabric tool stacks for Data & AI
Domain
Enterprise Data Warehousing, Business Intelligence, and AI/ML on Microsoft Azure
Deliverable
production ML models
Required skills
Azure Data platform, Databricks, Microsoft Fabric, Power BI, Enterprise Data Warehousing, Semantic Models, Data Lake Architecture, Metadata-driven ETL, DevOps/DataOps, Agentic AI, machine learning, predictive analytics, LLM use cases
Preferred skills
Agentic AI, machine learning, predictive analytics, LLM use cases
Technologies
Azure ADF, SQL DW, Azure Synapse, Azure Databricks, Microsoft Fabric, Microsoft Power BI, Git, automated deployment pipelines
Responsibilities
Architect, implement, monitor, and support enhancements to clients' Microsoft Azure and/or Fabric tool stacks; Manage, advise, and delegate all aspects of assigned client's in-scope services; Interact with clients to identify issues, troubleshoot expediently, and follow up on issues within contracted SLAs; Mentor/coach onshore and offshore engineers on assigned clients; Create and maintain updated documentation for each client's environment
Seniority
Senior, hands-on IC