Senior Analytics Engineer
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Job Description
Senior Analytics Engineer leading enterprise data modeling and semantic architecture at Prenuvo, a proactive healthcare company. Establishing governed data products, quality standards, and analytics engineering practices.
Responsibilities:
- Drive implementation and evolution of enterprise analytical modeling standards, including domain boundaries, shared entities, dimensional design, and semantic layer architecture
- Create standards for model design, testing, documentation, lineage, observability, access, code review, and release management
- Guide the transition from one-off marts and dashboard-specific logic toward reusable, governed data products
- Lead architecture reviews, guide system design, and co-own high-impact technical choices with data team members
- Lead cross-domain design with Product, Engineering, Finance/Accounting, Clinical, Research, Growth/Marketing, and AI stakeholders
- Define how trusted measures and dimensions are exposed across Sigma, analytical workflows, and governed AI experiences
- Support data quality ownership by connecting business definitions, source system accountability, automated controls, and incident response
- Execute and operationalize the enterprise data governance framework with Data leadership, translating organizational direction into standards, ownership models, quality controls, documentation, and adoption practices
Requirements:
- At least 6 years of experience in analytics engineering, data engineering, data architecture, or a related discipline
- Deep expertise in SQL, dbt, dimensional modeling, data warehouse design, and reusable analytical data product development
- Hands-on experience designing semantic or metrics layers used across multiple analytical consumers
- Strong knowledge of testing, observability, lineage, metadata, access controls, privacy-aware architecture, and software development lifecycle practices
- Ability to lead architecture through influence, create clear technical decision records, and mentor experienced engineers
- Experience balancing enterprise consistency with iterative delivery and domain-specific needs
- Strong communication skills connecting technical choices to organizational risk, speed, cost, and business outcomes
- Legally authorized to work in the United States at the time of hire and must not require employer sponsorship for a work visa
- Background check required as part of the hiring process
- Nice to have: Experience with Databricks, Fivetran, Sigma, dbt MetricFlow, or a comparable semantic layer platform
- Nice to have: Experience with healthcare data in a regulated environment
- Nice to have: Experience designing data contracts, domain-oriented data products, or a data governance operating model
- Nice to have: Experience modernizing a growing analytical environment without disrupting critical reporting
Benefits:
- Positive impact on people's lives and their health
- Free whole-body scans for each team member
- Growth opportunities and flexible career paths
- Weekly team connection, sharing, and socializing
- Flexible vacation policy
- Commuter Benefits Plan covering transit and parking costs
- 401(k) plan for US employees with company contributions
- Comprehensive health, dental, vision, and Mental Health coverage
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