Senior Engineering Manager, Data Engineering

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Develop and implement a strategic roadmap for Omada's Data Engineering platform.

• Oversee the delivery of scalable, reliable, and governed data products that facilitate analytics, reporting, experimentation, and AI-driven insights.

• Provide trusted, reusable production datasets that empower Applied Data Science, Product, Clinical, Commercial, Finance, Operations, and Executive analytics.

• Lead, nurture, and expand a high-performing Data Engineering organization through recruitment, coaching, mentoring, and career growth.

• Cultivate a culture of technical excellence, collaboration, accountability, and ongoing learning.

• Enable teams to deliver impactful solutions while prioritizing quality and operational excellence.

• Collaborate with Product, Analytics, Data Science, Architecture, Governance, and Engineering leaders to establish priorities and expedite data-driven decision-making across Omada.

• Convert business requirements into scalable platform capabilities and reliable data products.

• Build strong relationships throughout the organization to promote alignment, transparency, and effective execution.

• Establish engineering excellence by enhancing data quality, reliability, observability, security, and platform performance.

• Define and track engineering and operational metrics to continually improve platform health, cost efficiency, and developer productivity.

• Guide the adoption of enhanced 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.

• Enhance self-service analytics through dependable and reusable data capabilities.

• Influence long-term technology strategies while collaborating with engineering leaders across Omada to develop a world-class data platform.

⛳️ Requirements

• Over 10 years of experience in building and operating large-scale data platforms, analytics systems, or software platforms.

• More than 5 years of experience leading Data Engineering teams, with a preference for candidates who have managed managers or multiple teams.

• Proven track record in building, mentoring, and scaling high-performing engineering organizations.

• Demonstrated success in defining technical strategy, driving execution, and delivering complex cross-functional initiatives.

• Strong experience in collaborating with Product, Analytics, Data Science, and executive stakeholders.

• Extensive experience in 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 the design of scalable data products.

• Experience with implementing data quality, observability, governance, metadata, lineage, and access control capabilities.

• Experience in modernizing enterprise data platforms and fostering the adoption of contemporary data engineering practices.

• Familiarity with AI and machine learning data workflows is an advantage.

🏝️ Benefits

• Competitive salary with a substantial 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 (with above-market employer contributions).

• 401k retirement savings plan.

• Lifestyle Spending Account (LSA).

• Mental Health Support Solutions.

• ...and more!