Speridian Technologies · 4 months ago
Sr. Engineering Manager/Coach, Data Team
United States
Full-time
Remote
Senior LevelSperidian Technologies is recruiting for a Sr. Engineering Manager/Coach, Data Platforms, for the Department of Healthcare Services in California. This role involves leading a team of data engineering experts to build enterprise-scale data platforms that transform healthcare information into actionable insights, while driving a data-driven transformation initiative for better public health outcomes.
CRMInformation TechnologySoftware
Responsibilities
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
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
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
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
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
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
Qualification
Required
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 experience
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
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
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
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
Benefits
Work-life balance (no nights, weekends, or burnout)
Fully remote work
Company
Speridian Technologies
Speridian is a Global IT solutions and Consulting company that helps leading enterprises solve their biggest challenges.
Founded in 2003
1001-5000 employees
H1B Sponsorship
Speridian Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (89)
2024 (50)
2023 (97)
2022 (113)
2021 (34)
2020 (119)
Funding
Current Stage
Late StageLeadership Team
Ali Hasan
President & CEO
Girish Panicker
Founder & Chairman of the Board
Recent News
2022-03-24
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