Senior Manager, Data Platform Engineering

What you'll do

• Lead, coach, and develop engineers while setting expectations and managing performance.
• Plan and drive complex data initiatives, managing delivery, dependencies, risks, and cross-functional communication.
• Guide data-platform evolution and operational reliability, including ingestion, transformation, architecture, data quality, and production support.

What they ask for

• 8+ years in data engineering, platform engineering, software engineering, or a related technical field, including 3 years directly managing software or data engineers or serving as a Lead/Staff Data Engineer in production engineering.
• Demonstrated success building and managing engineering teams, and leading complex cross-functional initiatives from planning through production with predictable delivery.
• Strong technical depth in modern data platforms, including ingestion, ETL/ELT, distributed processing, data modeling, cloud architectures, and production data systems.
• Strong understanding of engineering quality and operations, including testing, data quality, observability, incident management, on-call operations, version control, CI/CD, and production reliability.

Nice to have

• Experience with enterprise-scale data lakehouse, data platform, or data infrastructure capabilities.
• Experience with healthcare data; familiarity with data governance, metadata, cataloging, security, privacy, or regulated data environments.

Pay

$175,000 to $195,000 USD annually (base salary)

Tools

AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, Athena