Director, Data Product Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Build and lead a team dedicated to designing, delivering, and operating domain data products and AI-driven analytical solutions on the Natera Data Platform.

• Oversee cross-functional data products, analytical experiences, and Golden KPIs.

• Develop an operational model incorporating embedded data and AI engineers within various business domains.

• Monitor and report on delivery KPIs, including time-to-delivery, certified dataset counts, adoption rates, and production incidents.

• Define and uphold publishing standards for analytical products.

• Establish standards for headless data products and create reusable golden paths.

• Promote proactive data engineering, AI-assisted development, automated testing, and AI-enabled code review and documentation.

• Train engineers to operate AI-natively, enhancing productivity by 3–5 times.

• Implement CI/CD practices, infrastructure as code, data observability, and data quality standards.

• Facilitate automated drift detection, root-cause analysis, and human-in-the-loop recovery processes.

• Ensure compliance with HIPAA, RAQA, and data classification standards.

• Own the NDP contribution and discovery model, enabling self-service data consumption.

• Collaborate with the Data Governance Lead on data contracts, certification reviews, and access policies.

• Recruit, mentor, and develop data and analytics engineers.

• Review architecture and code, troubleshoot production issues, and establish technical standards across platforms like Snowflake, AWS, Claude, Sigma, dbt, Fivetran, Python, and Airflow.

• Translate business requirements into scoped commitments and effectively communicate changes to stakeholders.

⛳️ Requirements

• 10+ years of experience in data engineering.

• 5+ years of experience leading data or analytics engineering teams at the Director level.

• Proficiency in Python and SQL.

• Ability to critique dbt models, troubleshoot pipeline failures, and make architectural decisions.

• Experience in delivering production data products with measurable adoption metrics.

• Background in regulated environments such as healthcare, life sciences, diagnostics, or pharmaceuticals.

• Real-world experience with PHI and HIPAA compliance.

• Familiarity with Snowflake, AWS, Claude, dbt, Fivetran, Sigma, and Airflow or Dagster.

• Knowledge of CI/CD for data pipelines and infrastructure as code.

• Understanding of data mesh principles and headless, domain-owned data products.

• Experience leading teams utilizing AI-assisted development in production settings.

• Proven track record of defining engineering standards, golden paths, or operational models across multiple teams or domains.

• Excellent stakeholder engagement, technical writing, and executive communication skills.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability plans for eligible employees and their dependents.

• Complimentary testing for employees and their immediate families.

• Fertility care benefits.

• Pregnancy and baby bonding leave.

• 401k benefits.

• Commuter benefits.

• Employee referral program.