Senior Manager Data Engineer (Databricks, Pyspark, Snowflake)
Core
Lead high-performing Agile teams to design, develop, and support scalable data engineering solutions across full-stack and cloud platforms, driving technical strategy and mentoring talent.
Role type
Senior Manager Data Engineer (Databricks, Pyspark, Snowflake)
Builds
Scalable data engineering solutions, cloud-first data platforms, and transformative data initiatives.
Domain
Financial Services / Data Engineering / Cloud Platforms
Deliverable
production ML models | product features | infrastructure
Required skills
People management, technical strategy, architecture design, code review, team mentoring, stakeholder communication, pipeline orchestration, data modeling, cloud platform selection
Preferred skills
Distributed data/compute workloads, real-time or streaming data pipelines, data observability, NoSQL databases, data warehousing solutions, Agile development, reusable data products
Technologies
Databricks, Pyspark, Snowflake, Python, Spark, AWS, Microsoft Azure, Google Cloud, EMR, Glue, Airflow, Dagster, MongoDB, Cassandra, DynamoDB, Redshift
Responsibilities
Lead high-performing Agile teams in designing and supporting scalable data engineering solutions; Maintain hands-on technical engagement by reviewing architecture designs, data models, and pipeline code; Architect and enforce common data engineering design patterns; Oversee the design and health of data platforms and pipelines; Lead, mentor, and grow a diverse team of data engineers; Lead and execute large-scale, transformative data initiatives from end to end.
Seniority
Senior Manager, hands-on leadership & strategy