Manager, Data Engineering & Delivery (DED) Team

This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets ( up to PB size ), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes.

PRIMARY RESPONSIBILITIES:

Leadership

• Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications.
• Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements.
• Measure, report, and maintain/improve operational effectiveness.
• Train and coach team members on new technologies, procedures, and guidelines/best practices.

Technical

• Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications
• Translate DSPE's business needs and project requirements into technical specifications and implementation plans.
• Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components.
• Contribute to key development, testing, deployment, validation, maintenance, and update activities on data products and data systems/tools/components, as well as data delivery tasks.

Quality, Compliance, and Documentation

• Improve and enforce operating procedures for compliance, quality, and efficiency.
• Create training materials, and contribute to training activities, on DSPE Data Engineering & Delivery (DED) team owned data products and data systems.

Cross-Functional

• Engage proactively and directly with internal and external stakeholders to align development roadmaps, resolve dependencies, and exchange performance metrics.
• Represent the Data Engineering & Delivery (DED) team in stakeholder meetings.

QUALIFICATIONS:

• Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or other related fields. Doctorate degrees are a plus .
• Minimal 5 years of relevant industry experience for candidates with a Master's Degree. Minimal 2 years of relevant industry experience for candidates with a Doctorate degree.
• Minimal 2 years of working experience in a highly regulated environment, e.g., CLIA and/or FDA compliant settings.
• Minimal 2 years of management experience leading a Data Engineering team, a Data Production/Delivery team, or a Data Analytics team, with demonstrable evidence of leadership and team management skills.

KNOWLEDGE, SKILLS, AND ABILITIES:

• Strong proficiency in SQL and Python programming languages. Proficiency in R is a plus.
• Proficiency in data analysis and statistical techniques.
• Proficiency in data visualization tools (e.g., Tableau , Power BI , AWS QuickSight ).
• Strong SQL skills in developing robust and maintainable queries to extract and/or aggregate data from complex data sources.
• Attention to detail and a commitment to data accuracy.
• Proficiency in building data products, e.g., data aggregation, extraction, transformation, and QC. Past working experience in dbt is a plus.
• Excellent problem-solving and critical-thinking abilities.
• Working knowledge of genomics and bioinformatics workflows. Human genetics knowledge is a plus.
• Proficiency in Git workflow and version control systems like GitHub and/or GitLab .
• Working experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus.
• Ability to work collaboratively in a cross-functional team environment.
• Good documentation practices and coding style.
• Strong verbal and written communication skills.
• Strong interpersonal skills.
• Strong integrity.