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Data Engineer Manager

tire rackSouth Bend, IN

yesterday

Occupations

Data Warehousing SpecialistsComputer and Information Systems ManagersDatabase Architects

Industries

Computer Systems Design ServicesComputing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesSoftware Publishers
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About the role

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
  • TechnologiesDatabricksSparkDelta Lake
  • WorkflowsUnity CatalogAWSS3IAMGlueLambdaVPCTerraformCI/CDWork Schedule
  • Monday through Friday (normal work days)
  • Occasional weekend work may be required based on business or operational needs
  • Location7015 Vorden PkwySouth Bend, Indiana
  • OnsiteJob TypeFull Time
  • CategoryInformation Technology
  • SalaryDependent on Experience

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JOB OVERVIEW

Experience level

Manager

Location

South Bend, IN

Occupation

Data Warehousing Specialists

Industry

Computer Systems Design Services

Posted

yesterday

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