Data Engineering Senior Manager
Core
Lead and grow multiple delivery teams in a Data Intelligence & AI practice, owning a portfolio of cloud data lake and lakehouse engagements on Azure, AWS, or Databricks.
Role type
Senior Manager, Data Engineering Practice Lead
Builds
Cloud-native data lakes and lakehouses (Delta Lake, Apache Iceberg) using medallion architecture on Azure, AWS, and/or Databricks
Domain
Cloud Data Engineering, Data Intelligence, AI
Deliverable
production ML models
Required skills
Cloud data platform architecture (Azure, AWS, Databricks), Data lake/lakehouse design, Medallion architecture, SQL, Python, Spark, Workflow orchestration, Open table formats, Pre-sales and bid leadership, Team growth and coaching, DataOps maturity (CI/CD, IaC, security, observability)
Preferred skills
Experience with AI coding assistants and agentic workflows, Senior stakeholder communication
Technologies
Azure, AWS, Databricks, Delta Lake, Apache Iceberg, SQL, Python, Spark
Responsibilities
Lead and grow multiple delivery teams of Cloud Data Management and Data Lake Engineers, Own a portfolio of client engagements end-to-end, Shape technical strategy and architecture standards, Drive AI-powered transformation across the practice, Lead pre-sales and commercial activities, Partner with Head of Data Management and BI Engineering, Build cross-practice partnerships with AI/ML and BI leadership, Champion engineering excellence and DataOps maturity
Seniority
Senior, hands-on IC with management responsibilities