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Senior Manager, Data Engineering

Job in South Bend, St. Joseph County, Indiana, 46626, USA
Listing for: Tire Rack
Full Time position
Listed on 2026-08-20
Job specializations:
  • Management
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Join Tire Rack’s IT team and help shape the future of data across the organization. As the Sr. Manager, Data Engineering, you’ll lead the strategy and evolution of our enterprise data engineering capabilities, guide a talented team of engineers and technical leaders, and drive the modernization of our data platform using Databricks and AWS. This is an opportunity to influence how data is built, governed, and delivered at scale—and turn major technology investments into meaningful business impact.

This role is ideal for an experienced data engineering leader who enjoys tackling complex technical challenges, developing high-performing teams, and turning ambitious ideas into enterprise solutions. You’ll have the opportunity to set direction, champion modern engineering practices, partner with leaders across the business, and play a key role in building the next generation of Tire Rack’s data ecosystem.

What You'll Do
  • Set the vision and strategy for Data Engineering, creating a roadmap that connects platform capabilities with Tire Rack’s long-term business priorities
  • Lead, coach, and develop a high-performing Data Engineering team, including team leads and senior engineers
  • Drive the enterprise-wide transition to a modern Databricks lakehouse architecture, leading one of the organization’s most important data modernization initiatives
  • Own the long-term data platform roadmap and guide the architecture, design, and evolution of Databricks and AWS capabilities
  • Champion modern engineering practices, new technologies, and innovative approaches that improve performance and deliver measurable business value
  • Build a culture of technical excellence, accountability, collaboration, and continuous improvement
  • Develop future leaders within the team by building bench strength and preparing team leads for greater scope and responsibility
  • Establish engineering standards, delivery practices, and an operating model that enables teams to deliver effectively at scale
  • Lead enterprise data integration and governance strategy, ensuring data is secure, reliable, high-quality, compliant, and performance-ready
  • Partner with Business Data Intelligence and other teams across the organization to turn enterprise priorities into scalable, governed data products
  • Communicate platform strategy, progress, risks, and results to Director-level and executive stakeholders and build alignment around enterprise data priorities
  • Own platform reliability, performance, and cost management while continuously identifying opportunities to make the data ecosystem better
  • Lead budget planning, headcount forecasting, and resource strategy for the Data Engineering function
  • Monitor key initiatives, workloads, budgets, quality, and KPIs to keep the department moving toward its goals
  • Collaborate across departments to solve complex challenges, remove roadblocks, and improve how teams work together
  • Stay ahead of emerging data technologies and industry trends, bringing forward new ideas and solutions that can create value for Tire Rack
  • Perform additional duties as assigned to support department and company objectives
What We’re Looking For

We’re looking for a strategic, forward-thinking data engineering leader who can see the big picture while understanding the technology required to make it happen. You bring deep cloud data platform expertise, strong business judgment, and a track record of leading teams through meaningful transformation. Just as importantly, you know how to bring people together, communicate a clear vision, and turn complex technical initiatives into results the business can see and measure.

Required Qualifications
  • Minimum of 3 years of experience as a Supervisor or Assistant Manager
  • Minimum of 8 years of professional experience with progressive responsibility in data engineering or data platforms
  • Proven success leading a significant cloud data platform modernization or migration with demonstrated business impact
  • Deep expertise in Databricks and AWS data architecture, including platform security, governance, integration, and enterprise-scale workload optimization
  • Demonstrated ability to set departmental strategy and lead budget and resource planning
  • Ability to…
Position Requirements
10+ Years work experience
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