[Hiring] Director of Data Engineering @Tivity Health

Role Description

We are seeking a Director of Data Engineering to lead the Enterprise Data Foundation (EDF) team at Tivity Health. This role is responsible for the full lifecycle of our enterprise data platform — spanning ingestion, transformation, storage, and delivery — across two distinct business domains: our core Fitness business and our Whole Health Living (WHL) healthcare business.

The Director will manage a team of approximately 10 engineers and QA professionals, set technical direction for platform architecture and evolution, and partner cross-functionally with Data Governance, BI & Reporting, Product Engineering, and business stakeholders to ensure data infrastructure meets both current operational needs and future strategic objectives. This is primarily a people management and technical leadership role.

• Lead, mentor, and develop a team of ~10 data engineers and QA professionals across ETL development, platform operations, and quality assurance.
• Conduct performance management including goal-setting, regular 1:1s, career development planning, and performance reviews.
• Drive team capacity planning, hiring, and onboarding for new engineering and QA roles.
• Foster a culture of engineering excellence, ownership, and continuous improvement.
• Coordinate workload across team members, balancing project delivery, operational support, and technical debt reduction.

Qualifications

• Bachelor's or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related quantitative field preferred. Experience in lieu of education will be considered.
• 6+ years of hands-on experience in data engineering or data architecture roles.
• 3+ years of direct people management experience leading technical teams.
• Expert-level SQL proficiency and working knowledge of Python for data engineering.
• Experience with cloud data warehouses (Snowflake, Redshift, BigQuery, or Databricks) at enterprise scale.
• Demonstrated ability to define and execute multi-year platform modernization roadmaps.
• Experience operating in a regulated or compliance-sensitive environment (healthcare, financial services, or similar).

Requirements

• 10+ years of progressive experience in data engineering, data architecture, or data platform roles.
• 5+ years in a management or leadership role directing data engineering teams of 5+ members.
• Deep expertise with Snowflake (architecture, performance tuning, security model, cost optimization) and AWS data services (Glue, DMS, S3, Lambda, Lake Formation).
• Hands-on experience designing and operating layered data warehouse architectures (Raw/Staging → Integration → Presentation → Analytics/Consumption).
• Strong background in ETL/ELT pipeline design, including incremental loading patterns, change data capture, SCD Type 2, and data quality validation.
• Experience with infrastructure-as-code (Pulumi, Terraform, or CDK) for managing cloud data resources through CI/CD pipelines.
• Familiarity with modern data platform patterns: Apache Iceberg / open table formats, lakehouse architectures, event-driven / streaming pipelines, and zero-ETL integrations.
• Experience with healthcare data systems (claims adjudication, eligibility, provider networks) is strongly preferred given the WHL domain scope.
• Understanding of data governance frameworks, metadata management, data cataloging, and lineage — sufficient to partner effectively with a dedicated governance function.
• Experience managing both engineering and QA disciplines within a data platform team.
• Strong communication skills with ability to translate technical platform decisions into business value for non-technical stakeholders.

Benefits

• Competitive salary
• Company bonus potential
• Medical, dental, vision
• 401k with match
• Generous paid time off
• Free gym membership to over 13,000 fitness locations in the US
• Other great benefits