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# Director, Business Intelligence & Data Engineering

- **Company:** SALUD HEALTHCARE INC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Clinical Data Repository, Code Review, Continuous Integration, Data Governance, Data Mart, Data Warehousing, Healthcare Effectiveness Data and Information Set, Power BI, Cloud Services, Standard Sql, SQL Databases, Apache Spark, Looker Analytics, Databricks
- **Published:** October 6, 2026
- **Apply:** https://www.thejobnetwork.com/job/558084a8-f6cd-4b7f-9403-bcf93eabe15e/director-business-intelligence-data-engineering

## About the Role

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· 10+ years in data engineering / business intelligence, with at least 3 years leading teams.

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· Fluent in Databricks / Spark - hands-on with the lakehouse, Delta, Unity Catalog, and SQL warehouses.

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· Fluent in a modern semantic-layer BI platform - Cube or Looker (LookML) - building governed, reusable metrics; PowerBI reporting a strong plus.

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· Strong SQL and dimensional + semantic data modeling.

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· 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.

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· Proven delivery discipline - sprints, code review, testing, and CI/CD - for data and/or application teams.

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· Cloud data platforms (Azure preferred); data governance, lineage, and data-quality practice.

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· Excellent communication with executives and business users; you translate between the two., · Direct experience at a healthcare MSO, IPA, ACO, or value-based-care organization is strongly preferred.

## Description

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.