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Omada Health

Senior Engineering Manager, Data Engineering

RemoteUnited States only
Published
Role
Engineering Management
Experience
Senior
$202.4k–$253k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior data engineering manager for a US-remote role. Needs 10+ years building large-scale data platforms and 5+ years leading Data Engineering teams, with deep cloud analytics platform experience. Must be able to lead managers/teams, define strategy, and work across Product, Analytics, Data Science, Governance, and Engineering.

Core skills

Data EngineeringData platformsCloud analytics platforms

Required skills

DatabricksSparkAirflowKafkaRedshiftSnowflakePythonSQLGraph DBAWSCI/CDinfrastructure automationtesting frameworksmonitoringperformance optimization

Optional skills

Unity CatalogCollibraOpenMetadata

What you'll do

  • 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.

What they require

  • 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.
  • Preferred: 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.
  • 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.
  • Bachelor’s degree in Computer Science or a similar discipline preferred.
  • Preferred: Experience building data pipelines for Healthcare or highly governed industries is a big plus.

Benefits

  • Competitive salary with generous annual cash bonus
  • Equity grants
  • Employee stock purchasing plan (ESPP)
  • 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
  • Omada is thrilled to share that we’ve been certified as a Great Place to Work!
HealthcareMid-size

Details

Apply routeGreenhouse
$202.4k–$253k/yr