Manager of Data Engineering & Delivery (Data Science Production Engineering)

Natera is a global leader in precision medicine, genomics testing, and cell-free DNA diagnostics. The Manager of Data Engineering & Delivery will lead a team responsible for data infrastructure, ingestion solutions, ETL pipelines, data products, and delivery systems supporting Data Science Production Engineering and laboratory operations. The role also oversees technical planning, compliance, documentation, stakeholder alignment, and team development.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• Masters degree in Statistics, Data Science, Bioinformatics, Computer Science, Mathematics, Management Science, Operational Research, or other related fields
• 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
• Strong proficiency in SQL and Python programming languages
• 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
• Excellent problem-solving and critical-thinking abilities
• Working knowledge of genomics and bioinformatics workflows
• Proficiency in Git workflow and version control systems like GitHub and/or GitLab
• 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
• Doctorate degrees are a plus
• Proficiency in R is a plus
• Past working experience in dbt is a plus
• Human genetics knowledge is a plus
• Working experience with healthcare data, electronic health records (EHR), and clinical terminology is a plus