[Remote] Senior Engineering Manager, Data Engineering
Note: The job is a remote job and is open to candidates in USA. Omada Health is on a mission to bend the curve of chronic disease. They are seeking a Senior Engineering Manager, Data Engineering to lead their data engineering organization, focusing on building and operating scalable data pipelines that support analytics and AI-driven insights.
Responsibilities
- 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
Skills
- 10+ years of experience building and operating large-scale data platforms, analytics systems, or software platforms
- 5+ years of experience leading Data Engineering teams
- 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
- Strong understanding of distributed data systems, cloud-native architectures, and software engineering practices
- Experience with modern data technologies such as Databricks, Spark, Airflow, Kafka, Redshift, Snowflake, Python, SQL, Graph DB and AWS
- Experience with CI/CD, infrastructure automation, testing frameworks, monitoring, and performance optimization
- Exceptional leadership, communication, and stakeholder management skills
- Ability to influence technical direction across multiple engineering teams and organizational boundaries
- Passion for mentoring engineers and developing future technical leaders
- Ability to balance immediate business needs with long-term platform investments
- Comfortable operating in ambiguous environments and creating clarity, alignment, and execution
- Experience managing managers or multiple teams preferred
- Familiarity with AI and machine learning data workflows is a plus
- Familiarity with modern data governance platforms such as Unity Catalog, Collibra, or OpenMetadata is a plus
- Experience building data pipelines for Healthcare or highly governed industries is a big plus
- Bachelor's degree in Computer Science or a similar discipline preferred
Benefits
- 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
- Equity grants
Company Overview
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