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Tech Stack
Tools & technologiesAirflowAWSPythonSQL
About the role
Key responsibilities & impact- Build and lead the team designing, delivering, and operating domain data products and AI-enabled analytical solutions on Natera Data Platform
- Lead cross-functional data products, analytics experiences, and Golden KPIs
- Create an operating model using embedded data and AI engineers within business domains
- Track and report delivery KPIs, including time-to-delivery, certified dataset count, adoption, and production incidents
- Define and enforce publishing standards for analytics products
- Establish headless data product standards and build reusable golden paths
- Drive agentic data engineering, AI-assisted development, automated testing, and AI-enabled code review and documentation
- Train engineers to work AI-natively and improve productivity by 3–5x
- Enforce CI/CD, infrastructure as code, data observability, and data quality standards
- Implement automated drift detection, root-cause identification, and human-in-the-loop recovery
- Ensure HIPAA, RAQA, and data classification compliance
- Own the NDP contribution and discovery model and enable self-service data consumption
- Partner with the Data Governance Lead on data contracts, certification review, and access policies
- Hire, coach, and develop data and analytics engineers
- Review architecture and code, debug production failures, and set technical standards across Snowflake, AWS, Claude, Sigma, dbt, Fivetran, Python, and Airflow
- Translate business needs into scoped commitments and communicate changes to stakeholders
Requirements
What you’ll need- 10+ years in data engineering
- 5+ years leading data or analytics engineering teams at Director level
- Hands-on Python and SQL experience
- Ability to critique dbt models, debug pipeline failures, and make architecture decisions
- Experience shipping production data products with measurable adoption
- Regulated-environment delivery in healthcare, life sciences, diagnostics, or pharma
- Real PHI and HIPAA compliance experience
- Experience with Snowflake, AWS, Claude, dbt, Fivetran, Sigma, and Airflow or Dagster
- CI/CD for data pipelines and infrastructure as code
- Working knowledge of data mesh and headless, domain-owned data products
- Experience leading teams using AI-assisted development in production
- Experience defining engineering standards, golden paths, or operating models across multiple teams or domains
- Strong stakeholder, technical writing, and executive communication skills
Benefits
Comp & perks- Comprehensive medical, dental, vision, life and disability plans for eligible employees and dependents
- Free testing for employees and immediate families
- Fertility care benefits
- Pregnancy and baby bonding leave
- 401k benefits
- Commuter benefits
- Employee referral program