A digital-first chronic care provider, helping members change mindsets to improve health and build lasting change.
Senior Engineering Manager, Data Engineering
Location
California + 2 moreAll locations: California | New York | Washington
Posted
3 days ago
Salary
$202.4K - $253K / year
Seniority
Senior
Job Description
Senior Engineering Manager, Data Engineering
Omada Health
• Establish and execute a strategic roadmap for Omada's Data Engineering platform. • Lead the delivery of scalable, reliable, and governed data products that enable analytics, reporting, experimentation, and AI-driven insights. • Deliver trusted, reusable production datasets that power Applied Data Science, Product, Clinical, Commercial, Finance, Operations, and Executive analytics. • Lead, develop and grow a high-performing Data Engineering organization through hiring, coaching, mentoring, and career development. • Foster a culture of technical excellence, collaboration, accountability, and continuous learning. • Empower teams to deliver high-impact solutions while maintaining a strong focus on quality and operational excellence. • Partner with Product, Analytics, Data Science, Architecture, Governance, and Engineering leaders to define priorities and accelerate data-driven decision making across Omada. • Translate business needs into scalable platform capabilities and trusted data products. • Build strong relationships across the organization to drive alignment, transparency, and execution. • Establish engineering excellence through improved data quality, reliability, observability, security, and platform performance. • Define and monitor engineering and operational metrics to continuously improve platform health, cost efficiency, and developer productivity. • Guide adoption of Improved reliability, quality, governance, and usability of enterprise data products. • Provide technical leadership for architecture, platform evolution, scalable technologies, reusable frameworks, and engineering standards across Data Engineering. • Expand self-service analytics through trusted and reusable data capabilities. • Influence long-term technology strategy while partnering with engineering leaders across Omada to build a world-class data platform.
Job Requirements
- 10+ years of experience building and operating large-scale data platforms, analytics systems, or software platforms.
- 5+ years of experience leading Data Engineering teams, with experience managing managers or multiple teams preferred.
- Proven ability to build, mentor, and scale high-performing engineering organizations.
- Demonstrated success defining technical strategy, driving execution, and delivering complex cross-functional initiatives.
- Strong experience partnering with Product, Analytics, Data Science, and executive stakeholders.
- Deep experience designing and operating modern cloud-based analytics platforms, including data warehouses, lakehouses, ELT/ETL pipelines, and data processing systems.
- Strong understanding of data modeling, analytics architecture, semantic layers, and scalable data product design.
- Experience implementing data quality, observability, governance, metadata, lineage, and access control capabilities.
- Experience modernizing enterprise data platforms and driving adoption of modern data engineering practices.
- Familiarity with AI and machine learning data workflows is a plus.
Benefits
- Competitive salary with generous annual cash bonus
- Equity grants
- Remote first work from home culture
- Flexible Time Off to help you rest, recharge, and connect with loved ones
- Generous parental leave
- Health, dental, and vision insurance (and above market employer contributions)
- 401k retirement savings plan
- Lifestyle Spending Account (LSA)
- Mental Health Support Solutions
- ...and more!
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