Sr. Manager Data Engineering

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 prioritiesLead, coach, and develop a high-performing Data Engineering team, including team leads and senior engineersDrive the enterprise-wide transition to a modern Databricks lakehouse architecture, leading one of the organization’s most important data modernization initiativesOwn the long-term data platform roadmap and guide the architecture, design, and evolution of Databricks and AWS capabilitiesChampion modern engineering practices, new technologies, and innovative approaches that improve performance and deliver measurable business valueBuild a culture of technical excellence, accountability, collaboration, and continuous improvementDevelop future leaders within the team by building bench strength and preparing team leads for greater scope and responsibilityEstablish engineering standards, delivery practices, and an operating model that enables teams to deliver effectively at scaleLead enterprise data integration and governance strategy, ensuring data is secure, reliable, high-quality, compliant, and performance-readyPartner with Business Data Intelligence and other teams across the organization to turn enterprise priorities into scalable, governed data productsCommunicate platform strategy, progress, risks, and results to Director-level and executive stakeholders and build alignment around enterprise data prioritiesOwn platform reliability, performance, and cost management while continuously identifying opportunities to make the data ecosystem betterLead budget planning, headcount forecasting, and resource strategy for the Data Engineering functionMonitor key initiatives, workloads, budgets, quality, and KPIs to keep the department moving toward its goalsCollaborate across departments to solve complex challenges, remove roadblocks, and improve how teams work togetherStay ahead of emerging data technologies and industry trends, bringing forward new ideas and solutions that can create value for Tire RackPerform 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 QualificationsMinimum of 3 years of experience as a Supervisor or Assistant ManagerMinimum of 8 years of professional experience with progressive responsibility in data engineering or data platformsProven success leading a significant cloud data platform modernization or migration with demonstrated business impactDeep expertise in Databricks and AWS data architecture, including platform security, governance, integration, and enterprise-scale workload optimizationDemonstrated ability to set departmental strategy and lead budget and resource planningAbility to influence, collaborate with, and build consensus among Director-level and executive stakeholdersStrong leadership skills with experience developing teams and building relationships across internal and vendor partnersExpert communication skills with the ability to make complex technical concepts clear, relevant, and actionableExcellent analytical, planning, negotiation, organizational, and interpersonal skillsStrong business acumen with an understanding of organizational priorities, goals, and strategyDemonstrated ability to lead organizational transformation and succeed in a fast-paced, goal-oriented environmentProficiency with Microsoft Word, Excel, and PowerPointDegree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent work experience
PreferredExperience with Databricks lakehouse architectureProfessional certifications related to data engineering, cloud platforms, or related technologies
Work DaysMonday through Friday. Occasional Saturdays and Sundays may be necessary.
Work HoursTypical hours are 8:00 a.m. – 5:00 p.m. Additional hours may be necessary based on business needs.
Candidates must be authorized to work in the U.S.We are unable to sponsor employment visas at this time.