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Head of Data Engineering & Platform, Real-World Data (RWD)

1 month ago
United States
Full-time
Lead
Data Engineer
Software Development
Agile AWS CI/CD Machine Learning PostgreSQL Python REST API Snowflake SQL
Apply Now
Natera

Natera

Natera specializes in cell-free DNA testing, providing advanced genetic testing services for oncology, women's health, and organ health to help families diagnose and manage genetic diseases.

Pharmaceuticals
1K-5K
Founded 2004
View All Jobs 83

Description

  • Lead, mentor, and grow a team of data engineers and SQA, with ownership of engineering practices, career development, and operations.
  • Define and drive the strategy and roadmap for the Real-World Data platform, including research, analytics, data mart development, and secure data sharing.
  • Partner with product, bioinformatics, analytics, AI, software engineering, and infrastructure teams to define requirements, priorities, data contracts, and delivery models.
  • Translate business and technical needs into scalable platforms, production-grade pipelines, and reusable data products for clinical, molecular, genomic, and real-world data.
  • Lead delivery of curated datasets, data marts, and consumer-facing data solutions with clear SLAs and service expectations.
  • Provide technical leadership across platform architecture, system design, and engineering practices, including data quality, validation, metadata, lineage, observability, testing, and operational support.
  • Drive team execution through planning, prioritization, estimation, hiring, and delivery management.
  • Balance long-term platform investments with near-term business needs.
  • Support secure de-identification and governance for sensitive healthcare data.

Requirements

  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Bioinformatics, or a related technical field; advanced degree is a plus.
  • 8+ years of experience in software engineering or data engineering, including production-grade data platforms, pipelines, and data products.
  • 4+ years of engineering leadership experience.
  • Strong hands-on expertise in Python and SQL.
  • Experience with modern data engineering practices, including pipeline development, data modeling, workflow orchestration, testing, code reviews, and agile delivery.
  • Experience designing and operating scalable, secure, and observable data platforms in cloud environments; AWS strongly preferred.
  • Experience with data warehouse and query technologies such as Snowflake, Redshift, PostgreSQL, Athena, or similar platforms.
  • Experience working with healthcare, clinical, genomic, or real-world data, including governance, de-identification, and secure handling of sensitive data.
  • Experience building and operating data platforms with CI/CD, observability, infrastructure automation, production support, and secure access patterns.
  • Strong communication, collaboration, and execution skills, with the ability to lead and develop teams while remaining technically credible.
  • Experience partnering with research, bioinformatics, scientific, or analytical users is strongly preferred.
  • Hands-on experience with bioinformatics pipelines, molecular and clinical data, and healthcare data models such as FHIR or OMOP is strongly preferred.

Benefits

  • Annual performance incentive bonus.
  • Long-term equity awards.
  • Comprehensive health benefits, including medical, dental, and vision coverage.
  • 401(k) with company match.
  • Generous paid time off and company holidays.
  • Additional wellness and work-life benefits.
  • Comprehensive medical, dental, vision, life, and disability plans for eligible employees and dependents.
  • Free testing for employees and their immediate families, plus fertility care benefits.
  • Pregnancy and baby bonding leave.
  • Commuter benefits and an employee referral program.

Interested in this position?

Apply directly on the company website

Apply Now

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