Director, Data Engineering

This is a fully remote position, open to applicants in Florida.

📋 Description

• Direct the Data Engineering team by providing technical guidance, mentorship, prioritization, performance management, and ensuring accountable delivery.

• Take ownership of the architecture, reliability, performance, and continuous support of enterprise data warehouses and platforms.

• Maintain expertise in SQL Server, ETL, OLAP cubes, SSRS reporting, integration, and business dependencies.

• Lead the design and implementation of Databricks in collaboration with an implementation partner, taking full responsibility for its architecture, operations, performance, security, governance, reliability, and ongoing development.

• Assess architecture, review pipelines and models, troubleshoot intricate issues, and guide decision-making in implementations.

• Design and manage enterprise data models for reporting, analytics, artificial intelligence, and operational decision-making.

• Set and uphold standards for engineering, architecture, documentation, testing, deployment, monitoring, data quality, security, and production support.

• Collaborate with executives and business leaders to translate their requirements into data solutions and prioritize tasks accordingly.

• Work alongside analytics, artificial intelligence, application, integration, cybersecurity, and infrastructure teams.

• Oversee vendors and implementation partners, ensuring alignment in architecture, accountability in delivery, thorough documentation, budget oversight, and internal support.

• Carry out additional duties as necessary.

⛳️ Requirements

• Bachelor’s degree in computer science, information systems, or a related field; equivalent experience may be accepted.

• Over 10 years of experience in data engineering, data architecture, or business intelligence, including more than 5 years in a leadership role.

• Extensive hands-on experience in architecting and implementing enterprise data solutions using Databricks.

• Experience in supporting and modernizing SQL Server data warehouses, ETL processes, OLAP cubes, and SSRS.

• Proficient in designing enterprise, dimensional, and analytical data models.

• Knowledge of Databricks, including architecture, data engineering, platform design, performance, security, governance, and operations.

• Strong understanding of SQL Server and legacy data warehouse technologies.

• Excellent capabilities in data architecture, data modeling, integration, data quality, and governance.

• Proven hands-on technical leadership across data pipelines, models, platform performance, and resolution of complex issues.

• Capacity to lead and develop technical teams while managing vendors and implementation partners.

• Skill in translating business needs into scalable data solutions.

• Strong communication skills with executives and an ability to prioritize tasks based on business value, risk, dependencies, and capacity.

• Preferred experience in healthcare or regulated data.

🏝️ Benefits

• Engaging work that supports patients and makes a difference in their lives.

• Compensation for employee service.

• Internal application access through Workday’s “Jobs Hub” for current employees.