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Director, Business Intelligence & Data Engineering at Salud Healthcare Director, Business Intelligence & Data Engineering at Salud Healthcare in Hallandale, Florida Posted in 12 days ago.

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full-time About Salud Healthcare 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. Position Summary We are seeking an experienced, hands-on Director of Business Intelligence & Data Engineering to own our data platform and analytics end-to-end

• the Databricks Enterprise Datawarehouse with curated data marts, a governed semantic layer and BI, and the engineering discipline behind the data-adjacent applications.

This is a builder-first leadership role: you will set the technical direction for data, lead by example on quality and delivery, and grow a team that turns a data-and-analytics group into a stable engineering organization. You will be the technical leader who guarantees data quality at the source

• so that upstream disruptions never propagate.

You will own a single source of truth for metrics through a modern semantic layer, and you will bring the requirements discipline, review, testing, environment parity, and cost governance that keep a healthcare data platform trustworthy and auditable. This role is ideal for a data leader who has built and operated a lakehouse and BI stack inside a healthcare MSO or comparable value-based-care organization, has strong opinions on modeling and governance, and wants to build a high-leverage function from a strong foundation. Key Responsibilities Data Platform (EDW 2.0 / Databricks)

• Own the Databricks medallion architecture (Bronze / Silver / Gold): pipeline reliability, Delta/Unity Catalog governance, lineage, and performance.
• Keep the Gold layer trustworthy and observable
• monitor freshness and alert on failure, not just success.
• Set standards for ingestion from payer, claims, clinical, and Salesforce sources. Semantic Layer & Business Intelligence
• Own a modern, governed semantic / metrics layer (Cube or Looker) as the single source of truth for business metrics
• consistent numbers across every consumer.
• Own the reporting the business runs on: accurate, timely, and governed dashboards for leadership and operations. Data Quality & Integrity
• Put data-quality gates and controls in place so upstream disruptions (e.g., provider / organization data) don't propagate downstream.
• Instrument freshness, completeness, and reconciliation checks; make failures loud and traceable. Engineering Standards & Delivery
• Establish requirements defined and frozen per sprint, PR review, tests that assert effect, trunk-based delivery, and dev / QA / prod parity
• across pipelines and the apps built on top of them.
• Operate the 2-week sprint cadence (JIRA, GitHub, Confluence); champion AI-assisted development (Claude Code, Cursor) as a daily team practice, kept under human review and tests. Cost & Security Governance
• Own per-workload cloud cost governance on

Azure and Databricks:

budgets, caps, owners, tagging, and right-sizing

• so an ungoverned run can never surprise us again.
• Enforce private networking, least-privilege access, and HIPAA-aligned controls (audit logging, encryption, access review) across the data estate. Team Leadership & Roadmap
• Lead and grow the data engineering and BI team, and direct the offshore full-stack engineer(s); build hiring pipelines and lead interview loops.
• Partner with clinical, operations, and finance stakeholders; protect focus with a single, prioritized roadmap instead of many half-built efforts. Required Qualifications
• 10+ years in data engineering / business intelligence, with at least 3 years leading teams.
• Fluent in Databricks / Spark
• hands-on with the lakehouse, Delta, Unity Catalog, and SQL warehouses.
• Fluent in a modern semantic-layer BI platform
• Cube or Looker (LookML)
• building governed, reusable metrics; PowerBI reporting a strong plus.
• Strong SQL and dimensional + semantic data modeling.
• Healthcare industry experience is

REQUIRED

• you understand payer, claims, and clinical data and its sensitivity (HIPAA, HITECH, PHI, BAAs).

MSO / IPA / ACO

/ value-based-care experience strongly preferred.

• Proven delivery discipline
• sprints, code review, testing, and CI/CD
• for data and/or application teams.
• Cloud data platforms (Azure preferred); data governance, lineage, and data-quality practice.
• Excellent communication with executives and business users; you translate between the two. Preferred Qualifications
• Direct experience at a healthcare MSO, IPA, ACO, or value-based-care organization is strongly preferred.
• 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.
• Application-adjacent engineering (FastAPI / React, Azure Container Apps) to credibly govern the app teams.
• Salesforce data pipelines; FinOps / cloud cost management.
• Experience leading distributed or offshore teams across time zones.

healthcare setting.