The Director will lead the Data Engineering team and work closely with executives, business leaders, analytics teams, application teams, vendors, and other technology functions. This leader will translate business needs into practical data solutions, establish priorities based on business value, and communicate technical concepts, risks, dependencies, and recommendations in clear business terms.
- All Healogics employees must perform their job responsibilities according to all Healogics policies, hospital policies, applicable accrediting organization standards, federal and state regulations, and Centers for Medicare and Medicaid Services guidelines.
- Essential Functions/Responsibilities:
Lead the Data Engineering team, including technical direction, coaching, prioritization, performance management, and accountability for delivery.
Own the architecture, reliability, performance, and ongoing support of Healogics’ enterprise data warehouse and data platforms.
Maintain a strong understanding of the current data environment, including SQL Server, ETL processes, OLAP cubes, SSRS reporting, integrations, and critical business dependencies.
In collaboration with an implementation partner, lead the design and implementation of the Databricks platform, transition it into production, and assume ongoing ownership of its architecture, operations, performance, security, governance, reliability, and continued evolution.
Serve as a hands-on technical leader who can evaluate architecture, review data pipelines and models, troubleshoot complex issues, and guide implementation decisions.
Design and oversee enterprise data models that provide consistent, reliable, and reusable data for reporting, analytics, artificial intelligence, and operational decision-making.
Establish and enforce standards for data engineering, architecture, documentation, testing, deployment, monitoring, data quality, security, and production support.
Partner with executives and business leaders to understand business needs, translate them into practical data solutions, and prioritize work based on business value, risk, dependencies, and team capacity.
Collaborate with analytics, artificial intelligence, application, integration, cybersecurity, and infrastructure teams to deliver secure, integrated, and well-governed data solutions.
Manage vendors and implementation partners, ensuring architecture alignment, delivery accountability, documentation, budget management and sustainable internal support.
Perform other duties as required.
Required Education, Experience and Credentials
Bachelor’s degree in computer science, information systems, or a related field; equivalent experience may be considered.
10+ years of data engineering, data architecture, or business intelligence experience, including 5+ years in leadership.
Significant hands-on experience architecting and implementing enterprise data solutions on Databricks.
Experience supporting and modernizing SQL Server data warehouses, ETL processes, OLAP cubes, and SSRS.
Experience designing enterprise, dimensional, and analytical data models.
Healthcare or regulated data experience preferred.
Required Knowledge, Skills and Abilities
Databricks experience, including architecture, data engineering, platform design, performance, security, governance, and operations.
Strong SQL Server and legacy data warehouse knowledge, including the ability to maintain current operations while leading modernization.
Strong data architecture, data modeling, integration, data quality, and governance capabilities.
Hands-on technical leadership across data pipelines, models, platform performance, and complex issue resolution.
Ability to lead and develop technical teams and manage vendors and implementation partners.
Customer-focused partner who can translate business needs into scalable data solutions.
Strong executive communication and ability to prioritize work based on business value, risk, dependencies, and capacity.
#LI-RS1
The base salary for this position generally ranges between $163,000-$190,000 annually
This range is an estimate, based on potential employee qualifications: education, experience, geography as well as operational needs and other considerations permitted by law.
If you are a current employee, to submit a job application, you need to apply as an internal candidate in Workday via the “Jobs Hub”.
