About this opportunity
Salud Healthcare lists this Director, Business Intelligence & Data Engineering opportunity in miramar, Florida. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
Worksite address
miramar, FL, 33023, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.