Data Engineer Manager

The Data Engineering Manager role at Tire Rack is focused on leading the Data Engineering team and shaping an enterprise data platform that supports scalable, secure, and cost-efficient analytics and reporting. This position combines people leadership with hands-on oversight of data pipeline architecture and platform modernization across Databricks and AWS.

Key Responsibilities

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

Required Qualifications

• 8+ years of progressive professional data engineering experience.
• 3+ years of leadership experience at the Supervisor, Assistant Manager, or comparable level.
• Strong knowledge of Databricks, including Spark, Delta Lake, Workflows, and Unity Catalog.
• Experience designing and supporting solutions on AWS, including storage, identity and access management, networking, and compute optimization.
• Experience leading cloud data-platform modernization initiatives.
• Strong 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

• Normal work days are Monday through Friday.
• Occasional weekend work may be necessary based on business or operational needs.

Location and Job Details

Location: 7015 Vorden Pkwy, South Bend, Indiana (onsite)

Job Type: Full Time

Category: Information Technology

Salary: Dependent on Experience