Senior Manager, Data Engineering
Core
Lead data engineering teams to design, build, and maintain enterprise data pipelines and platforms, driving clinical innovation, operational efficiency, and enterprise analytics for Stanford Medicine.
Role type
Senior Manager, Data Engineering
Builds
Scalable cloud-based data platforms (GCP, AWS, Azure), data warehousing solutions (Databricks), and enterprise analytics/reporting solutions.
Domain
Healthcare / Academic Medical Center / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Team leadership and mentorship, strategic planning and roadmap development, data engineering principles (ETL/ELT, data modeling, architecture), cloud platform expertise (GCP, AWS, Azure), big data technologies (Spark, Kafka), workflow orchestration (Airflow), SQL, Python or Scala, data governance and security protocols.
Preferred skills
Master's degree, healthcare or academic medical center experience.
Technologies
GCP, AWS, Azure, Databricks, Snowflake, BigQuery, Redshift, Spark, Kafka, Airflow
Responsibilities
Lead, mentor, and manage multiple teams of data engineers; oversee design and maintenance of scalable data pipelines; define technical roadmap for cloud data platforms; partner with stakeholders to deliver enterprise analytics; manage project lifecycle and data governance; develop and manage operational budget for data engineering teams.
Seniority
Senior, hands-on IC with management responsibilities