We are seeking a hands-on
Director of BI & Data Engineering to own the Salud Enterprise Datawarehouse (EDW) on Databricks and the BI solution that sits on top of it. This is a player / coach role: you will personally design and build permanent EDW tables, data models, ETL, and stored procedures, while leading a small team through a disciplined agile delivery process.
Key Responsibilities:EDW Permanent Table Development (Databricks)- Design, build, and own the permanent tables of the Databricks EDW - dimensional and normalized data models across the Bronze / Silver / Gold medallion layers and curated data marts.
- Develop and maintain production ETL / ELT pipelines and stored procedures (SQL, Spark / PySpark), and set standards for ingestion from payer, claims, clinical, and Salesforce sources.
- Govern the platform through Delta and Unity Catalog: lineage, access, performance tuning, and per-workload cost management on Azure and Databricks.
- Put data-quality gates in place - freshness, completeness, and reconciliation checks - so upstream disruptions never propagate downstream, and failures are loud and traceable.
Product Owner, Semantic Layer & BI Solution- Serve as product owner of Salud's BI solution: own the vision, roadmap, prioritized backlog, requirements, and user acceptance.
- Build and govern the semantic / metrics layer - including Databricks-native semantic capabilities - as the single source of truth for business metrics, so every consumer sees the same numbers.
- Lead development on an enterprise BI platform (e.g., Looker, Omni, MicroStrategy): governed, reusable models and the dashboards leadership and operations run the business on.
- Partner with clinical, operations, finance, and growth stakeholders to translate business questions into data products, and drive adoption across the organization.
Healthcare & Value-Based Care Data- Bring deep working knowledge of healthcare data - payer, claims, eligibility, membership, and clinical - and model it to support value-based care performance.
- Deliver the analytics that matter in Medicare Advantage and value-based arrangements: HCC / risk adjustment, HEDIS / Stars quality, utilization, MLR, and capitation.
- Enforce HIPAA-aligned controls across the data estate: least-privilege access, private networking, encryption, audit logging, and access review.
Team Leadership & Agile Delivery (Player / Coach)- Lead, mentor, and grow a small team of data engineers and BI developers, and direct offshore engineering resources; build hiring pipelines and lead interview loops.
- Run a 2-week sprint cadence (JIRA, GitHub, Confluence): requirements defined and frozen per sprint, backlog grooming, sprint planning, reviews, and retrospectives.
- Set engineering standards - PR review, tests that assert effect, CI/CD, and dev / QA / prod parity - and champion AI-assisted development (e.g., Claude Code, Cursor) under human review.
- Stay hands-on: contribute code, models, and reviews alongside the team while protecting focus with a single, prioritized roadmap.
Required Qualifications:- 10+ years in data warehousing, data engineering, and business intelligence, including 3+ years leading teams.
- Strong, hands-on experience building enterprise data warehouse permanent tables: data modeling (dimensional and normalized), ETL / ELT development, and stored procedures; expert SQL.
- Hands-on Databricks experience - lakehouse, Delta, Unity Catalog, SQL warehouses - including semantic layer development.
- Proven experience with an enterprise BI and semantic modeling platform such as Looker (LookML), Omni, or MicroStrategy.
- Experience acting as product owner for a BI or data platform: roadmap, backlog, requirements, and stakeholder adoption.
- Healthcare industry experience is REQUIRED - payer, claims, eligibility, and clinical data and its sensitivity (HIPAA, HITECH, PHI, BAAs). Value-based care experience strongly preferred.
- Proven ability to lead a team through agile processes - sprints, code review, testing, and CI/CD - while remaining a hands-on contributor.
- Excellent communication with executives and business users; you translate between the two.Bachelor's degree in Computer Science, Data/Information Systems, Statistics, or related field required; Master's preferred but not required.
Preferred Qualifications:- Direct experience at a healthcare MSO, IPA, ACO, or other value-based-care organization.
- Medicare Advantage specifics: HEDIS, HCC / risk adjustment, MMR, eligibility, and claims (X12 837/835/834/270/271).
- dbt, Airflow / Astronomer, or comparable data-platform tooling; Azure cloud data services.
- Salesforce data pipelines; FinOps / cloud cost management.
- Experience leading distributed or offshore teams across time zones.
Compensation & Benefits:- Salary range: $165,000-$195,000
- Health, dental, and vision insurance
- 401(k).
- Paid time off and company holidays.