Sr. Engineering Manager / Coach, Data Team

Speridian Technologies is recruiting for a Sr.

Engineering Manager / Coach, Data Platforms, for our State of California Client, the Department of Healthcare Services, Behavioral Health.

This person will be part of a long-term, fully budgeted, state-of-the-art, extremely vast technical modernization project working with a variety of cross-functional teams and stakeholders.

This is a remote role; however, there will be meetings in the Sacramento area several times a year.  Candidates are expected to work business hours, Monday-Friday, Pacific Time Zone.

Join DHCS’s Behavioral Health Transformation :

• Where Purpose Meets Innovation Location : Remote Department : Department of Healthcare Services (DHCS), Behavioral Health Transformation (BHT) Commitment : Full-Time Consultant (W2 employee of Speridian or 1099 / IC for Speridian)  Why DHCS?
• At DHCS we are leading a transformative journey in Behavioral Health, reshaping systems and services to ensure better outcomes for communities across California.
• Our Behavioral Health transformation initiative is more than a project—it’s a movement to make California a leader in accessible, high-quality health services.
• We’re setting the stage for a new era of government services built on agile methodologies, cutting-edge technology, continuous improvement, and a relentless commitment to serving the public good.
• At DHCS, we’re looking for innovators who are passionate about purposeful work and excited by the opportunity to drive lasting change through innovative solutions.
• Our Core Values (Achieve Together, Be Curious, Elevate Yourself, and Deliver Value) We achieve together by championing a team-oriented workplace built on mutual respect, collaboration, and open communication.   We encourage individuals and teams to constantly be curious and seek a deeper understanding and fresh ideas that drive innovation and meaningful change.
• We provide a supportive workplace where you can elevate yourself and achieve personal growth through continuous learning, focused effort, and perseverance.
• We deliver value as part of every action we take to serve California’s citizens.
• As a Senior Engineering Manager / Coach ,  Data 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.
• Responsibilities & Outcomes 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 :

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 :

People Management & Development Manage, mentor, and develop a team of 10-20 data engineers Conduct regular 1 :

Data Engineering Excellence & Quality Establish and maintain standards for data quality, pipeline reliability, and monitoring Drive continuous improvement in ETL / ELT practices and data tooling Ensure appropriate data governance, security, and compliance implementation Implement metrics and monitoring for data pipeline performance and data quality Outcome :

Cross-functional Partnership Partner with Analytics, Data Science, and Business Intelligence teams on requirements Collaborate with Product Management on data product roadmap and prioritization Work with Software Engineering teams on application data integration Communicate data architecture concepts and trade-offs to non-technical stakeholders Outcome :

Talent Strategy & Team Building Lead technical interviews and hiring decisions for data engineering roles Develop team skills through mentoring, training, and stretch assignments Identify and cultivate future data platform leaders Build team culture emphasizing data quality, automation, and continuous learning Outcome :

Interview Process :

But here’s what we can offer :