FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Director, Data Engineering
Healogics, LLC.. Lead the Data Engineering team through technical direction, coaching, prioritization, performance management, and delivery accountability .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data engineering teams, architecting enterprise data solutions, and managing complex data environments. Proficient in SQL Server, Databricks, and data modeling, with a strong focus on performance, security, and governance.
Highest-signal resume keywords
Data Engineering LeadershipDatabricks ArchitectureSQL Server ManagementData Modeling ExpertiseExecutive Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureETL ProcessesOLAP Cube DesignSSRS ReportingData Quality ManagementIntegration TechniquesPerformance OptimizationTroubleshooting Complex IssuesAnalytics Solutions DesignArtificial Intelligence Implementation
Soft Skills
Team LeadershipVendor ManagementPrioritization SkillsCollaborationCommunication
Tools & Technologies
DatabricksSQL ServerEnterprise Data WarehousesData PipelinesBusiness Intelligence Tools
Industry Keywords
Healthcare Data ExperienceRegulated Data ComplianceData GovernanceBusiness IntelligenceData Solutions
Tech Stack
Tools & technologiesCyber SecurityETLSQL
About the role
Key responsibilities & impact- Lead the Data Engineering team through technical direction, coaching, prioritization, performance management, and delivery accountability
- Own the architecture, reliability, performance, and ongoing support of enterprise data warehouses and platforms
- Maintain SQL Server, ETL, OLAP cube, SSRS reporting, integration, and business-dependency knowledge
- Lead Databricks design and implementation with an implementation partner and assume ownership of its architecture, operations, performance, security, governance, reliability, and evolution
- Evaluate architecture, review pipelines and models, troubleshoot complex issues, and guide implementation decisions
- Design and oversee enterprise data models for reporting, analytics, artificial intelligence, and operational decision-making
- Establish and enforce standards for engineering, architecture, documentation, testing, deployment, monitoring, data quality, security, and production support
- Partner with executives and business leaders to translate needs into data solutions and prioritize work
- Collaborate with analytics, artificial intelligence, application, integration, cybersecurity, and infrastructure teams
- Manage vendors and implementation partners, including architecture alignment, delivery accountability, documentation, budget management, and internal support
- Perform other duties as required
Requirements
What you’ll need- 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
- Databricks experience including architecture, data engineering, platform design, performance, security, governance, and operations
- Strong SQL Server and legacy data warehouse knowledge
- 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
- Ability to translate business needs into scalable data solutions
- Strong executive communication and ability to prioritize work based on business value, risk, dependencies, and capacity
- Healthcare or regulated data experience preferred
Benefits
Comp & perks- Meaningful work supporting patients and changing patients’ lives
- Compensation for employee service
- Internal application through Workday’s “Jobs Hub” for current employees