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Salary: USD 165,000 - 185,000 / annual
Prenuvo is transforming healthcare through proactive, preventative whole-body MRI scanning. The company combines optimized hardware, software, and AI with a patient-centric clinic experience to shift from reactive sick-care to proactive health care.
You will lead enterprise modeling and semantic architecture for the Data & Analytics team, raising engineering standards and enabling the team to scale through shared patterns, mentorship, and governed data products.
Key responsibilities:
- Drive implementation and evolution of enterprise analytical modeling standards, including domain boundaries, shared entities, dimensional design, and semantic layer architecture
- Create practical standards for model design, testing, documentation, lineage, observability, access, code review, and release management
- Guide transition from one-off marts and dashboard-specific logic toward reusable, governed data products
- Lead architecture reviews and guide system design in collaboration 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 in partnership with Data leadership
You will work with cutting-edge technology and high-performing teams with deep expertise in healthcare data and analytics.
Requirements:
- At least 4 years of experience in analytics engineering, data engineering, data architecture, or 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
- Demonstrated 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 with ability to connect technical choices to organizational risk, speed, cost, and business outcomes
Nice to have:
- Experience with Databricks, Fivetran, Sigma, and dbt MetricFlow or comparable semantic layer platform
- Experience working with healthcare data in regulated environment with understanding of privacy, governance, and responsible data use
- Experience designing data contracts, domain-oriented data products, or data governance operating model
- Experience modernizing growing analytical environment without disrupting critical reporting
