Senior Analytics Engineer

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

📋 Description

• Lead the development and advancement of enterprise analytical modeling standards, which encompass domain boundaries, shared entities, dimensional design, and the architecture of the semantic layer.

• Establish standards for model design, testing, documentation, lineage, observability, access, code reviews, and management of releases.

• Facilitate the shift from isolated marts and dashboard-specific logic to reusable, governed data products.

• Oversee architecture reviews, steer system design, and collaboratively make high-impact technical decisions with members of the data team.

• Drive cross-domain design initiatives with stakeholders from Product, Engineering, Finance/Accounting, Clinical, Research, Growth/Marketing, and AI.

• Determine how trusted measures and dimensions are presented across Sigma, analytical workflows, and governed AI experiences.

• Enhance data quality ownership by linking business definitions, source system accountability, automated controls, and incident response mechanisms.

• Implement and operationalize the enterprise data governance framework alongside Data leadership, translating organizational objectives into standards, ownership models, quality controls, documentation, and adoption practices.

⛳️ Requirements

• A minimum of 6 years of experience in analytics engineering, data engineering, data architecture, or a related field.

• Extensive expertise in SQL, dbt, dimensional modeling, data warehouse design, and the development of reusable analytical data products.

• Practical experience in designing semantic or metrics layers utilized by multiple analytical consumers.

• Profound knowledge of testing, observability, lineage, metadata, access controls, privacy-aware architecture, and software development lifecycle practices.

• Capability to guide architecture through influence, produce clear technical decision records, and mentor seasoned engineers.

• Experience in balancing enterprise consistency with iterative delivery and domain-specific requirements.

• Excellent communication skills to connect technical decisions with organizational risk, speed, cost, and business outcomes.

• Must be legally authorized to work in the United States at the time of hire and will not require employer sponsorship for a work visa.

• Background check is necessary as part of the hiring process.

• Preferred: Experience with Databricks, Fivetran, Sigma, dbt MetricFlow, or a similar semantic layer platform.

• Preferred: Experience with healthcare data in a regulated environment.

• Preferred: Experience in designing data contracts, domain-oriented data products, or a data governance operating model.

• Preferred: Experience in modernizing a growing analytical environment without disrupting essential reporting.

🏝️ Benefits

• Make a positive impact on people's lives and their health.

• Receive free whole-body scans for each team member.

• Opportunities for growth and flexible career paths.

• Participate in weekly team connections, sharing sessions, and socializing events.

• Enjoy a flexible vacation policy.

• Access a Commuter Benefits Plan that covers transit and parking expenses.

• Contribute to a 401(k) plan for US employees with company contributions.

• Comprehensive health, dental, vision, and mental health coverage.