Senior Manager, Data Engineering
Core
Architect and implement scalable cloud-based lakehouse/warehouse solutions, design enterprise data models, and build high-performance batch and real-time data pipelines.
Role type
Senior Manager, Data Engineering
Builds
Scalable cloud data platforms (Databricks/AWS), enterprise data models, automated data pipelines, and data governance frameworks.
Domain
Cloud data infrastructure, AI/ML infrastructure, enterprise data architecture
Deliverable
production ML models | infrastructure
Required skills
SQL, cloud data platforms (Databricks, Snowflake, Redshift, BigQuery), ETL/ELT, data modeling (dimensional), data pipeline automation, data governance, security controls, team leadership
Preferred skills
DataOps best practices, CI/CD implementation, cross-functional partnership
Technologies
Databricks, AWS, Alteryx, Informatica
Responsibilities
Architect scalable cloud-based lakehouse/warehouse solutions; Design and optimize enterprise data models; Build and maintain high-performance batch and real-time data pipelines; Implement data quality frameworks and monitoring; Establish CI/CD pipelines and DataOps best practices; Implement data governance standards including cataloging and lineage; Design strong security controls and access management; Lead and mentor a team of data engineers; Champion a culture of data excellence.
Seniority
Senior Manager, hands-on IC with team leadership
