Director, BI & Data Engineering

Salud Healthcare is seeking a hands-on Director of BI & Data Engineering to own its Databricks enterprise data warehouse and business intelligence solution. The role combines building data models, pipelines, and a governed semantic layer with leading a small team and delivering analytics for healthcare and value-based care.

Responsibilities:

• 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
• 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
• 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
• 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

Requirements:

• 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)
• 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
• Value-based care experience strongly preferred
• Master's preferred but not required
• 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