Manager of Data Engineering & Architecture - Hybrid / Remote

• Hybrid for candidates in Nashville and surrounding areas.
• Remote option available for candidates outside of surrounding areas.

Key Responsibilities

Leadership & Team Development

• Lead, mentor, and develop a team of data, architectural engineers across onshore and offshore resources
• Support workforce planning, hiring, onboarding, coaching, and performance management
• Foster a culture of accountability, continuous improvement, and technical excellence

Data Platform & Architecture

• Provide architectural direction for the enterprise data warehouse and data lake, ensuring alignment with healthcare data standards and regulatory requirements (e.g., HIPAA)
• Design and optimize scalable, secure data pipelines using Azure Databricks, Apache Spark, and Azure-native data services
• Guide integration of data from multiple healthcare sources, including EMRs, claims systems, and patient portals
• Ensure solutions are designed for scalability, reliability, cost efficiency, and long-term maintainability

Delivery & Collaboration

• Partner with clinical, operational, analytics, and IT teams to deliver trusted, self-service data and insights
• Oversee strategic data initiatives and projects, ensuring alignment with business priorities and organizational goals
• Promote and institutionalize Agile and iterative development practices within the data engineering organization

Governance, Quality & Compliance

• Establish and enforce data governance, privacy, security, and quality standards across platforms and pipelines
• Ensure compliant handling of healthcare data, including PHI, in accordance with HIPAA and internal policies
• Support data stewardship, documentation, and auditability across the data ecosystem

Innovation & Strategy

• Stay current with industry trends in data engineering, process automation, cloud platforms, DataOps, and MLOps
• Identify opportunities to modernize tooling, architecture, and delivery practices to improve outcomes and efficiency
• Contribute to long-term data and analytics strategy and roadmap development

Required Qualifications

• Bachelor’s or master’s degree in computer science, Computer Engineering, Information Systems, or a related field (or equivalent experience)
• 5+ years of experience in data engineering, automation or related technical roles
• 3+ years of experience in leadership or people management capacity
• Strong background in SQL, data modeling, and ETL/ELT development
• Hands-on experience with Azure Databricks, including:



• Building Spark-based data pipelines
• Managing cluster performance and cost optimization
• Integrating with Azure Data Factory and Azure Data Lake Storage
• Deep understanding of Azure cloud architecture and healthcare-specific data challenges
• Proven ability to design and architect data and analytics solutions across project, product, and program levels

Preferred Qualifications

• Familiarity with healthcare data formats and standards such as HL7, FHIR, and claims data
• Experience with BI and analytics tools such as Power BI, Tableau, or Sigma
• Strong communication skills with the ability to collaborate effectively across technical and non-technical stakeholders
• Experience operating in regulated environments with a focus on security, privacy, and compliance

Benefits:

• Comprehensive health, dental, and vision insurance
• Health Savings Account with an employer contribution
• Life Insurance
• PTO
• 401(k) retirement plan with a company match
• And more!

ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.

*If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.

*No Recruiters Please

Equal Opportunity Employer


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