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 DHCSs Behavioral Health Transformation: Where Purpose Meets InnovationLocation: 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 DHCSAt DHCS we are leading a transformative journey in Behavioral Health reshaping systems and services toensure better outcomesfor communities across California. Our Behavioral Health transformation initiative is more than a projectits a movement to make California a leader in accessible high-quality health services. Were 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 were 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 Californias citizens.
As a Senior Engineering Manager/CoachData youll 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 youll 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. Youll 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 departments strategic objectives.Were 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 & Outcomes1. 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 making2. 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 accountability3. 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 composition
Outcome: High-performing teams with strong retention clear growth paths and engaged data engineers4. 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: Consistent delivery of reliable high-quality data products with minimal pipeline failures5. 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: Strong partnerships enabling data democratization and self-service analytics6. 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: Strong talent pipeline with data engineers growing into senior and leadership rolesRequired Qualifications- Proven track record managing data engineering teams of 20 members
- Experience owning P&L or budget responsibility for data platforms or products
- Demonstrated ability to connect data infrastructure to business outcomes and ROI
- Experience building and operating production data platforms at scale
- Strong background in modern data engineering practices and cloud data technologies
- Demonstrated ability to make architectural decisions for data systems and pipelines
- Experience with full data lifecycle from ingestion through consumption
- Track record of developing data engineers and building strong data engineering cultures
- Bachelors degree in Computer Science Engineering or equivalent experience
Technical- Data Platforms: Snowflake Databricks BigQuery Redshift or similar
- Data Processing: Apache Spark Airflow dbt Kafka streaming architectures
- Cloud & Infrastructure: AWS/Azure/GCP data services and infrastructure as code
- Data Modeling: Dimensional modeling data vault data mesh principles
- Languages: SQL Python Scala and data-specific programming paradigms
Business & Financial- Financial Management: Cloud data cost optimization budget ownership and ROI analysis
- Business Metrics: Defining and tracking data platform KPIs and usage metrics
- Value Communication: Articulating data investments in business terms
- Resource Planning: Capacity planning for data workloads and storage
- Vendor Management: Evaluating and managing data tools and platform services
Leadership- People Management: Performance management career development and difficult conversations
- Team Building: Hiring onboarding and creating inclusive team environments
- Communication: Technical and non-technical stakeholder management
- Decision Making: Data-driven decisions balancing multiple constraints
- Strategic Thinking: Aligning data platform efforts with organizational goals
- Change Management: Leading teams through platform migrations and tool adoptions
General- Problem-Solving: Complex data and organizational challenge resolution
- Collaboration: Working effectively with Analytics Data Science and Engineering functions
- Mentorship: Developing junior and senior data engineers
- Process Improvement: Identifying and implementing efficiency improvements
- Business Acumen: Understanding business context and impact of data platform decisions
What Sets Top Performers Apart
Success in this role goes beyond compensation work-life balance or a typical corporate career mindset. Weve found thatintrinsic motivationa genuine drive to grow solve complex problems and create lasting impactis a defining trait of those who truly thrive here.Were looking for individuals with a consulting mindset a passion for technology and above all a deep personal commitment to delivering meaningful results. This environment is fast-paced and demandingwe hold ourselves to high standards every day.This role isnt for everyone and were honest about that. But for those motivated by purpose challenge and the chance to lead with impact it could be the ideal next step in your career.Interview Process:Recruiter Call and then:- Codility Assessment
- Interview Panel- 4 interviews
(People Management & Communication)(Culture)(Technical)(Executive & Critical Thinking)A little bit more about us and why you might want to join us:
We work within government for governmentbut we dont work like government.
Were agile in practice and philosophy.
Were purpose-driven and outcome-obsessed.
Were modernizing behavioral health technology in Californiaincluding addressing overdose suicide and the crises that leave people on the streets.
Were honest about the challengesstate government is bureaucratic and we cant match most tech salaries. But heres what we can offer:
Purpose that matters
Teammates who care deeply
Work-life balance (no nights weekends or burnout)
Fully remote work
Were not just changing systemswere changing how government works
Speridian is an EEO employer
Required Experience:
Senior Manager