Senior Engineering Manager, Omada Health

• 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
• 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
• Familiarity with modern data governance platforms such as Unity Catalog, Collibra, or OpenMetadata is a plus
• 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
• Education: Bachelor’s degree in Computer Science or a similar discipline preferred
• Technologies we use: Ruby on Rails, Redshift, Athena, Postgres, SQL, Python, Apache Airflow, Appflow, S3, SNS, SQS, Kafka, Docker, Kubernetes, AWS infrastructure, Lambda, Serverless, Tableau, Datadog, GitLabCI, Cursor, OpenMetadata, Databricks

Desirable

• As a Senior Engineering Manager, you will lead a team responsible for designing, building, and operating scalable data pipelines that serve as the trusted foundation for business intelligence, machine learning features, product analytics, operational reporting, experimentation, and advanced analytics
• You will partner closely with Data Architects, Product Managers, Analytics, Data Science, Governance, and Software Engineering teams to define the technical strategy, execution roadmap, and operating model for Data Engineering
• This role requires a strong balance of organizational leadership and technical depth. You will build high-performing engineering teams, drive platform strategy, and deliver reliable, scalable, and governed data capabilities that enable data-driven decision making across Omada
• 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