Senior Data Engineering Leader for Enterprise Analytics

LE0010 Stanford Health Care; Palo Alto (CA); On-site; USD 239,702,000 - 318,226,000; Full time

Job summary

Stanford Health Care seeks a dynamic Senior Manager of Data Engineering to lead multiple data engineering teams and deliver enterprise analytics across Stanford Medicine. You will partner with clinical, operational, and research leaders to implement data governance and scalable data platforms.

The ideal candidate has 8+ years in data engineering with 3+ years in leadership, and deep expertise in cloud data platforms (GCP/AWS/Azure), ETL/ELT, data modeling, and modern warehousing technologies.

Qualifications

• 8+ years in data engineering, with 3+ years in leadership or management.
• Experience in healthcare or academic medical centers is preferred.
• Strong knowledge of ETL/ELT, data modeling, and data architecture.

Responsibilities

• Lead multiple data engineering teams and drive career development.
• Oversee scalable data pipelines (ETL/ELT) and analytics platforms.
• Define roadmaps for cloud data platforms and warehousing solutions.
• Collaborate with clinical, operational, and research stakeholders.

Skills

ETL/ELT

Data Modeling

Cloud Platforms

Python/Scala

SQL

Leadership

Stakeholder Mgmt

HIPAA Knowledge

Big Data

Airflow

Education

Bachelor's degree in CS/Engineering/IS

Master's preferred

Tools

Databricks

Snowflake

BigQuery

Redshift

Spark

Kafka

Airflow

GCP

AWS

Azure

Job description

Stanford Health Care seeks a dynamic Senior Manager of Data Engineering to lead multiple data engineering teams and deliver enterprise analytics across Stanford Medicine. You will partner with clinical, operational, and research leaders to implement data governance and scalable data platforms.

The ideal candidate has 8+ years in data engineering with 3+ years in leadership, and deep expertise in cloud data platforms (GCP/AWS/Azure), ETL/ELT, data modeling, and modern warehousing technologies.