Buscar empleo: 131 ofertas de trabajo de recruiter remote en Sacramento, CA (septiembre 2025)

Speridian Technologies

Sr. Engineering Manager/Coach, Data Team

hace 28 días

Sacramento

Job DescriptionSperidian 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. 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 costsOutcome: 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 qualityOutcome: 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 compositionOutcome: High-performing teams with strong retention, clear growth paths, and engaged data engineers 4. 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 qualityOutcome: Consistent delivery of reliable, high-quality data products with minimal pipeline failures 5. 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 stakeholdersOutcome: Strong partnerships enabling data democratization and self-service analytics 6. 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, • 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, • Bachelor's degree in Computer Science, Engineering, or equivalent experienceTechnical, • 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 paradigmsBusiness & 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 servicesLeadership, • 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 adoptionsGeneral, • 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 Interview Process: Recruiter Call and then: • Codility Assessment A little bit more about us and why you might want to join us: We work within government, for government—but we don’t work like government. We’re agile in practice and philosophy. We’re purpose-driven and outcome-obsessed. We’re modernizing behavioral health technology in California—including addressing overdose, suicide, and the crises that leave people on the streets. We’re honest about the challenges—state government is bureaucratic, and we can't match most tech salaries. But here’s what we can offer: Purpose that matters Teammates who care deeply Work-life balance (no nights, weekends, or burnout) Fully remote work We're not just changing systems—we're changing how government works Speridian is an EEO employer Powered by JazzHR l0wMjgwpzx

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