Senior Manager, Data Engineering
Core
Lead multiple engineering teams and managers to set direction, deploy resources, and ensure technical excellence for complex, cross-functional initiatives within the data engineering domain.
Role type
Senior Manager, Data Engineering
Builds
Enterprise-scale data platforms, pipelines, and analytics solutions using Azure and Databricks
Domain
Healthcare technology / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Azure Data Platform mastery, Databricks & Lakehouse engineering, distributed data processing, Python, Scala, SQL, Spark, infrastructure-as-code, engineering governance, financial acumen, workforce planning
Preferred skills
Modern data architecture, semantic layer engineering, regulatory compliance expertise, executive-level technical advising
Technologies
Azure Data Factory, Synapse, ADLS, Event Hubs, Cosmos DB, Databricks, Delta Lake, MLflow
Responsibilities
Lead development and execution of engineering strategies aligned with business objectives; oversee planning and delivery of complex cross-functional projects; establish engineering governance structures and enforce compliance; direct managers in translating strategy into operational plans; drive innovation by adopting emerging technologies; evaluate engineering investments and optimize technology spend; oversee department budgets and forecasts; lead workforce planning and talent development.
Seniority
Senior Manager, hands-on leadership with strategic oversight