Manager, Data Engineering
Core
Lead a team of data engineers to design, develop, and optimize scalable data pipelines and infrastructure for enterprise reporting and insights.
Role type
Manager, Data Engineering
Builds
Scalable data pipelines, integration frameworks, cloud-native data platforms, data warehouses, and lakehouse solutions
Domain
Financial services / Data Engineering
Deliverable
production ML models
Required skills
Team leadership, Data engineering strategy, ETL/ELT development, Data warehousing, Distributed data processing, Python, PySpark, SQL, Apache Spark, Kafka, AWS, Databricks
Preferred skills
AWS services (S3, EMR, Glue, Lambda, Kinesis, Athena, Redshift), Databricks, Delta Lake, Unity Catalog, Lakehouse architecture, Data Mesh, Data Products, Semantic Modeling, Metadata Management, Business intelligence platforms (Tableau, Power BI, Amazon QuickSight), AI-enabled data platforms, Financial services experience, Globally distributed team leadership
Technologies
AWS, Databricks, Delta Lake, Unity Catalog, Kafka, PySpark, SQL, Apache Spark, Tableau, Power BI, Amazon QuickSight
Responsibilities
Lead and coach a high-performing team of data engineers; Define and execute data engineering strategy, architecture, and roadmaps; Design, build, and maintain scalable data pipelines and cloud-native data platforms; Establish standards for data quality, governance, observability, and security; Partner with data science, analytics, product, and business teams; Champion automation, DevOps practices, and modern engineering methodologies; Provide technical leadership for evaluating and adopting emerging technologies; Manage delivery planning, stakeholder communications, and risk management
Seniority
Manager, 5+ years leadership experience
