Stratum Med Inc
Position Summary
Stratum Medical is hiring a Senior Data Solutions Architect into the newly formed Data Services Organization (DSO); a strategic initiative to centralize data and analytics across our multi-specialty MSO.
Were looking for a versatile, hands-on expert with a rare combination of skills: someone who can build data pipelines, develop scalable analytics products, understand healthcare nuances, and serve as a thought partner to the CDO. This role is ideal for someone who thrives in ambiguity, wears multiple hats, and wants to build the foundation of a modern healthcare data platform from the ground up.
Youll work side-by-side with the CDO on everything from cloud architecture to BI dashboards to advanced analytics; with immediate, measurable impact across care quality, financial performance, and population health.
Key Responsibilities Data Architecture & Engineering
Build and optimize Redshift-based pipelines integrating EHR, PM, claims, and value-based care data Maintain robust data models, primary keys, lineage, and documentation using dbt and Git-based workflows Design reusable, performant views for downstream analytics and self-service tools Analytics & Decision Support
Develop clinical, financial, and operational metrics for use in dashboards and executive reporting Collaborate with front-line stakeholders to translate complex questions into scalable data products Build prototypes of dashboards and exploratory tools in BI platforms like Sigma or Looker Product & Strategy Enablement
Help define data product roadmaps aligned with DSOs goals Contribute to scalable frameworks for patient attribution, benchmarking, HCC scoring, and more Operate as a cross-functional expert, blending technical execution with deep healthcare domain knowledge Team Growth & Leadership
Serve as a technical mentor as the DSO team scales Contribute to standards around testing, documentation, code review, and agile delivery Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics or related field required Masters Degree preferred 8+ years of experience in healthcare data, analytics engineering, or data science Proven ability to build end-to-end data solutions in modern cloud environments (AWS preferred) Advanced SQL skills with expertise in data modeling, performance tuning, and ETL orchestration Strong fluency in healthcare domains: EHR, PM, payer/claims, and value-based care models Experience using dbt, Redshift, Git, and BI tools such as Sigma, Looker, or Tableau Exceptional problem-solving skills and the ability to work independently in high-ambiguity settings Core Competencies
Strong technical fluency across data modeling, pipeline development, and analytics delivery Deep domain expertise in healthcare data, including EHR, claims, and value-based care models High level of ownership and execution in ambiguous, fast-paced environments Clear communicator and collaborative problem-solver across technical and non-technical teams Product-oriented mindset with a focus on building scalable, intuitive data solutions
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Key Responsibilities Data Architecture & Engineering
Build and optimize Redshift-based pipelines integrating EHR, PM, claims, and value-based care data Maintain robust data models, primary keys, lineage, and documentation using dbt and Git-based workflows Design reusable, performant views for downstream analytics and self-service tools Analytics & Decision Support
Develop clinical, financial, and operational metrics for use in dashboards and executive reporting Collaborate with front-line stakeholders to translate complex questions into scalable data products Build prototypes of dashboards and exploratory tools in BI platforms like Sigma or Looker Product & Strategy Enablement
Help define data product roadmaps aligned with DSOs goals Contribute to scalable frameworks for patient attribution, benchmarking, HCC scoring, and more Operate as a cross-functional expert, blending technical execution with deep healthcare domain knowledge Team Growth & Leadership
Serve as a technical mentor as the DSO team scales Contribute to standards around testing, documentation, code review, and agile delivery Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics or related field required Masters Degree preferred 8+ years of experience in healthcare data, analytics engineering, or data science Proven ability to build end-to-end data solutions in modern cloud environments (AWS preferred) Advanced SQL skills with expertise in data modeling, performance tuning, and ETL orchestration Strong fluency in healthcare domains: EHR, PM, payer/claims, and value-based care models Experience using dbt, Redshift, Git, and BI tools such as Sigma, Looker, or Tableau Exceptional problem-solving skills and the ability to work independently in high-ambiguity settings Core Competencies
Strong technical fluency across data modeling, pipeline development, and analytics delivery Deep domain expertise in healthcare data, including EHR, claims, and value-based care models High level of ownership and execution in ambiguous, fast-paced environments Clear communicator and collaborative problem-solver across technical and non-technical teams Product-oriented mindset with a focus on building scalable, intuitive data solutions
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