Director, Business Intelligence & Data Engineering

Salud Healthcare; Town of Florida (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Salud Healthcare is seeking an experienced 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

Qualifications

• 10+ years in data engineering / BI with leadership experience.
• Fluent in Databricks / Spark and lakehouse modeling.
• Healthcare data experience with payer, claims and clinical data; HIPAA aware.
• Strong SQL and dimensional data modeling expertise.
• Delivery discipline with sprint, code review, testing, CI/CD.
• Cloud data platforms (Azure) and data governance background.
• Excellent communication with executives and business users.

Responsibilities

• Own the data platform and analytics end-to-end (EDW 2.0 / Databricks).
• Govern the semantic layer and metrics store for trusted dashboards.
• Ensure data quality at the source and establish data gates.
• Grow and manage the data engineering and BI team, including offshore staff.
• Partner with clinical, operations, and finance stakeholders; prioritize roadmap.
• Lead cost governance, security controls, and HIPAA-aligned practices.
• Establish sprint discipline with CI/CD and environment parity.

Skills

Databricks / Spark

Semantic layer / BI

SQL / data modeling

Healthcare data

Leadership / team mgmt

CI/CD / delivery

Azure / cloud

Tools

Databricks

Delta Lake

Unity Catalog

Cube/Looker

PowerBI

SQL data warehouses

Job description

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.
• 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.
• 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.
• Experience leading distributed or offshore teams across time zones. healthcare setting.