Sr. Manager, Data Engineering
Core
Leading the Data Engineering team to modernize the enterprise data platform using Databricks and AWS, aligning platform capabilities with long-term business priorities.
Role type
Senior Manager, Data Engineering
Builds
Enterprise data platform, Databricks lakehouse architecture, and governed data products
Domain
Cloud data platforms, Data Engineering
Deliverable
production ML models | infrastructure
Required skills
People leadership, Data engineering strategy, Cloud data platform modernization, Databricks architecture, AWS data architecture, Budget management, Stakeholder management, Team coaching, Engineering standards definition, Data governance
Preferred skills
Databricks lakehouse architecture, Cloud platform certifications
Technologies
AWS, Databricks
Responsibilities
Define vision and strategy for Data Engineering; Lead, coach, and develop a high-performing Data Engineering team; Drive enterprise transition to a modern Databricks lakehouse architecture; Own the long-term data platform roadmap and guide architecture design; Champion modern engineering practices and emerging technologies; Establish engineering standards, delivery practices, and operating models; Lead enterprise data integration and governance strategy; Partner with Business Data Intelligence to convert priorities into scalable data products; Communicate platform strategy and outcomes to executive stakeholders; Own platform reliability, performance, and cost control; Lead budget planning, headcount forecasting, and resource strategy; Monitor key initiatives, workloads, budgets, quality, and KPIs; Collaborate across departments to solve complex challenges; Stay current on emerging data technologies and industry trends.
Seniority
Senior, hands-on leadership
