At Salud Healthcare, we are transforming how value-based care is delivered by empowering clinical and operational teams with data-driven insights. As a growing MSO, we serve provider groups, supporting better patient outcomes through smart infrastructure, modern technology, and people-first innovation.

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.