Senior Manager, Data Engineering
Core
Lead the design, build, and continuous improvement of scalable data pipelines and Lakehouse architectures on Databricks and Azure while managing a team of 5–8 data engineers.
Role type
Senior Manager, Data Engineering
Builds
Scalable data pipelines, Lakehouse architectures, and data products on Databricks and Azure
Domain
Commercial Real Estate / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Databricks (Spark, Delta Lake, Unity Catalog), Azure ecosystem, team management, hiring, performance management, data governance, agile delivery, stakeholder management
Preferred skills
Technology transitions, CI/CD, infrastructure-as-code, cross-team initiatives
Technologies
Databricks, Azure, Spark, Delta Lake, Unity Catalog, Azure DevOps, GitHub Actions
Responsibilities
Design and build scalable data pipelines and Lakehouse architectures; manage a team of 5–8 data engineers including hiring and performance reviews; ensure data quality, observability, and security; orchestrate project delivery and agile practices; partner with global stakeholders to define data engineering outcomes.
Seniority
Senior Manager, hands-on technical leadership with people management