Senior Data Engineering Manager​/Coach

Data Engineering Manager, Data Platform – Behavioral Health Transformation

Remote (Working hours are Monday-Friday PST)

Medical Enterprise System Modernization Division (MESMD)

California Department of Health Care Services (DHCS)

Must work on shore in the US. We cannot sponsor or transfer an H1B Visa for this role Remote Role- USA, with some travel- about 10% to Sacramento for key meetings

Working hours are Monday-Friday, PST Commitment:

Full-Time Consultant to DHCS; you can work with us two ways: as a W2 employee of Speridian OR a 1099/IC/LLC. This is a long-term contract Speridian has with DHCS. We are in year three of a three-year contract with two two-year extensions.

Ready to democratize data for California's healthcare revolution? Join the Department of Healthcare Services (DHCS) as a Data Engineering Manager, where you'll architect the data platforms that power evidence-based decisions affecting 16 million Californians' healthcare journeys.

As a Data Engineering Manager, you'll lead a team of data engineering experts building enterprise-scale data platforms that transform petabytes of healthcare information into actionable insights. This role goes beyond traditional ETL pipelines – you'll design real-time streaming architectures, implement advanced analytics capabilities, and create self-service data products that empower teams across the organization. Your data platforms will enable predictive analytics that prevent fraud, optimize care delivery, and literally save lives through better healthcare outcomes.

DHCS offers the rare opportunity to work with healthcare data at a scale that rivals major tech companies, while directly improving public health. You'll have full ownership of the data platform strategy, invest in modern tools like Databricks and Snowflake, and the mandate to build a world-class data engineering organization. Our commitment to data-driven transformation means your work will be highly visible and directly tied to the department's strategic objectives.

We're looking for a data platform visionary who understands that great data engineering enables great decisions – someone who can optimize Spark jobs while evangelizing data literacy, who treats data quality as sacred, and who believes government should lead in leveraging data for public good.

• 1. Data Platform Leadership & Architecture
  • Drive data platform strategy and architecture decisions for enterprise data systems
  • Design and oversee data pipelines, warehouses, and lake architectures
  • Champion data engineering best practices including data quality, governance, and documentation
  • Make critical technical trade-off decisions balancing data freshness, accuracy, and infrastructure costs

  Outcome:
  Teams deliver scalable data platforms that enable analytics and data-driven decision making

• 2. Business Ownership & Financial Accountability
  • Own business metrics and ROI for data platform investments and initiatives
  • Develop and track cost-benefit analyses for data infrastructure and tooling decisions
  • Manage team budget including cloud data costs, tooling, and infrastructure spend
  • Translate data engineering work into business value and analytical capabilities for stakeholders
  • Drive efficiency improvements in data processing costs while maintaining data quality

  Outcome:
  Data engineering decisions driven by business value with clear ROI and financial accountability

• 3. People Management & Development
  • Manage, mentor, and develop a team of 10-20 data engineers
  • Conduct regular 1:1s focused on career development and performance
  • Execute performance management including promotions, improvement plans, and difficult conversations
  • Build diverse, inclusive teams through thoughtful hiring and team…