Director, Data Product Engineering

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $186.7k - $233.4k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Natera

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2004

🏥 Healthcare

🧬 Biotechnology

⚕️ Healthcare Insurance

Healthcare • Biotechnology • Healthcare Insurance

Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.

📋 Description

• 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

• 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

• 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