Data Engineer Manager

Lead the Data Engineering team and help shape Tire Rack’s enterprise data platform with secure, scalable solutions in the Databricks and AWS ecosystems.

Responsibilities

• Manage, mentor, and develop a team of Data Engineers from entry-level through Senior roles
• Own team performance management, career development, succession planning, hiring, and workforce planning
• Build a delivery culture centered on ownership, collaboration, quality, accountability, and continuous improvement
• Oversee data pipeline architecture and execution using Databricks, Spark, Delta Lake, Workflows, and Unity Catalog
• Guide the evolution of the Bronze/Silver/Gold medallion architecture
• Ensure secure, scalable AWS infrastructure using S3, IAM, Glue, Lambda, VPC, and related services
• Set and improve CI/CD and Infrastructure-as-Code standards, including Terraform
• Lead initiatives across data governance, security, compliance, data quality, monitoring, and reliability
• Define SLAs and operational standards for critical data platforms and pipelines
• Drive performance optimization and cloud cost-management strategies
• Lead incident response and root-cause analysis to improve platform reliability
• Translate business requirements into scalable, sustainable technical solutions
• Partner with BI, Analytics, Data Science, Software Development, and other IT teams
• Contribute to the enterprise data roadmap and lead modernization of the data platform
• Evaluate new Databricks and AWS capabilities and identify adoption opportunities

Requirements

• 8+ years of progressive professional data engineering experience
• 3+ years of leadership experience at the Supervisor, Assistant Manager, or comparable level
• Deep knowledge of Databricks, including Spark, Delta Lake, Workflows, and Unity Catalog
• Strong experience designing and supporting data solutions in AWS, including storage, identity and access management, networking, and compute optimization
• Experience leading cloud data-platform modernization initiatives
• Solid understanding of data architecture, governance, security, quality, reliability, and cloud cost optimization
• Proven ability to lead technical teams and develop employees across multiple career levels
• Demonstrated ability to collaborate with and influence cross-functional stakeholders
• Strong communication, problem-solving, and strategic planning skills

Technologies

• Databricks
• Spark
• Delta Lake
• Workflows
• Unity Catalog
• AWS
• S3
• IAM
• Glue
• Lambda
• VPC
• Terraform
• CI/CD

Work Schedule

• Monday through Friday (normal work days)
• Occasional weekend work may be required based on business or operational needs

Location

• 7015 Vorden Pkwy
• South Bend, Indiana
• Onsite

Job Type

• Full Time

Category

• Information Technology

Salary

Dependent on Experience