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Metro location and generalist senior title increase density despite seniority and moderate company brand.
Core data platform skills are transferable, though healthcare preference narrows fit slightly.
Explicit 10+ years, 5+ years management and mandatory platform skills enforce strict filtering.
Own the strategy, architecture, and execution of an enterprise-scale, cloud-native data platform supporting analytics, reporting, and AI/ML initiatives.
Lead and grow a team of data engineers, managing sprint planning, delivery cadence, and recruitment to maintain a high-performing team.
Implement data governance, data quality, security standards, and DataOps best practices including CI/CD, testing, monitoring, and documentation.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
10+ years of hands-on data engineering experience with at least 5 years in a people management role leading data platform or infrastructure teams.
Expertise with cloud data platforms (AWS Redshift, Glue, Snowflake, Databricks), big data technologies, and ETL/ELT design.
Experience with orchestration tools (Airflow, Prefect), streaming platforms (Kafka, Kinesis), and transformation frameworks (dbt, Spark).
Experienced leader skilled at aligning data platform technical roadmap with broader engineering and product strategy in a cloud-native environment.
Strong domain experience or understanding in healthcare/health insurance data and regulatory standards like HIPAA/PHI preferred but not mandatory.
Proven ability to build and mentor teams in a globally distributed setting, managing cross-functional stakeholder collaboration effectively.