Senior Manager, Data Platform Engineering

Required

• 8+ years of experience in data engineering, platform engineering, software engineering, or a related technical field, including 3 years of directly managing software or data engineers or as a Lead/Staff level Data Engineer in a production engineering environment.
• Demonstrated success building, coaching, and managing high-performing engineering teams, including setting expectations, developing talent, managing performance, and creating accountability for outcomes.
• Proven ability to lead complex, cross-functional engineering initiatives from planning through production, with strong delivery discipline, dependency management, risk mitigation, accountability, and a demonstrated track record of improving predictability.
• Proven ability to lead complex, cross-functional engineering initiatives from planning through production, with strong delivery discipline, dependency management, risk mitigation, accountability, and a demonstrated track record of improving predictability.
• Strong technical depth in modern data platforms, including data ingestion, ETL/ELT, distributed data processing, data modeling, cloud-based data architectures, and production data systems.
• Experience with modern cloud and data technologies such as AWS, S3, Iceberg, Glue, Airflow, Spark/PySpark, Athena, or comparable technologies.
• Strong understanding of engineering quality and operational practices, including testing, data quality, observability, incident management, on-call operations, version control, CI/CD, and production reliability.
• Excellent written and verbal communication skills, with the ability to provide concise, accurate updates to senior leadership and navigate priorities, tradeoffs, risks, and decisions across technical and non-technical stakeholders.