Director of BI and Data Engineering

$175000 - $230000 per year | Hollywood, FL | Hybrid | Permanent

Our client is a growing healthcare organization focused on improving patient outcomes through data-driven decision-making, operational efficiency, and innovative technology. Operating in a complex, highly regulated healthcare environment, they leverage clinical, claims, and operational data to support better care delivery, strengthen performance, and provide actionable insights across the business. As they continue to scale, they're investing in modern data infrastructure, analytics, and engineering capabilities to support long-term growth.

This is an opportunity to take ownership of an enterprise data and analytics function at a growing healthcare organization. You'll have the ability to shape the technical strategy, modernize a Databricks-based data platform, establish engineering standards, and build a high-performing team. With direct exposure to executive leadership and meaningful influence over the technology roadmap, you'll play a critical role in building scalable, reliable data solutions that directly support business operations and healthcare outcomes.

We are partnering with a growing healthcare organization to hire a Director of Business Intelligence & Data Engineering to own its enterprise data platform, analytics ecosystem, and data engineering strategy.

This is a hands‑on, builder‑first leadership role for someone who can set technical direction while remaining close to the architecture and engineering work. You will lead the evolution of a modern Databricks lakehouse, establish a governed source of truth for enterprise metrics, strengthen data quality and engineering standards, and build a high‑performing data and BI organization.

The ideal candidate has built and operated modern data platforms within healthcare and understands the complexity of payer, claims, clinical, and operational data.

• Own and evolve the Databricks lakehouse architecture, including Bronze, Silver, and Gold layers.
• Drive pipeline reliability, performance, lineage, observability, and governance across the data platform.
• Establish standards for ingesting and transforming payer, claims, clinical, CRM, and other enterprise data.
• Ensure curated datasets and data marts remain accurate, current, scalable, and trusted across the organization.
• Own governance across Delta Lake, Unity Catalog, SQL warehouses, and related Databricks capabilities.

• Own the organization's governed semantic and metrics layer, creating a single source of truth for enterprise KPIs.
• Establish reusable definitions and models that deliver consistent metrics across leadership, finance, clinical, and operational teams.
• Oversee the BI and reporting environment, ensuring dashboards are accurate, timely, governed, and actionable.
• Drive adoption of modern semantic-layer platforms such as Cube or Looker, with Power BI experience considered a plus.

• Build data-quality controls that identify issues before upstream disruptions impact downstream reporting or applications.
• Implement automated checks around data freshness, completeness, reconciliation, and integrity.
• Establish clear ownership, lineage, alerting, and root‑cause visibility across critical data pipelines.
• Maintain the standards required for a highly sensitive and regulated healthcare data environment.

• Establish strong engineering practices across data pipelines and data‑adjacent applications, including code…