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Senior Manager, Data Engineering

Discount TireSouth Bend, Indiana🇺🇸United StatesPosted Oct 1, 2026

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
South Bend, Indiana, United States
GCPScalaAWSETLAzureComplianceContinuous ImprovementForecasting

Job Description

Discount Tire is seeking a Senior Manager, Data Engineering to lead the design and delivery of scalable data platforms that power analytics and decision-making across our nationwide retail operations. You will guide a team of data engineers in building robust batch and real-time pipelines, data models, and warehouses that support reporting, forecasting, and customer insights. Partnering closely with analytics, IT, and business leaders, you will define standards, champion cloud-based architectures, and ensure data quality, security, and reliability. This role sits within a people-first culture that values respect, integrity, and teamwork, offering structured development, mentorship, and clear paths to grow your leadership career in a stable, fast-paced retail environment.

Responsibilities

  • Lead and mentor a team of data engineers delivering scalable data platforms and pipelines
  • Design, build, and optimize batch and real-time ETL/ELT workflows for retail data sources
  • Partner with analytics, IT, and business leaders to define data requirements and solutions
  • Establish data engineering standards, best practices, and governance for quality and reliability
  • Optimize data models and warehouses to support reporting, dashboards, and advanced analytics
  • Drive cloud-based data architecture and modern tooling adoption for performance and scalability
  • Ensure data security, privacy, and compliance within Discount Tire's data ecosystem
  • Plan and prioritize the data engineering roadmap, projects, and capacity
  • Collaborate with stakeholders to translate business needs into technical data solutions
  • Support a culture of continuous improvement, documentation, and knowledge sharing

Required Skills

  • Data engineering
  • ETL pipeline development
  • Cloud data platforms (AWS/Azure/GCP)
  • SQLPython or Scala
  • Data warehousing
  • Real-time data processing/streaming
  • Data modeling
  • BI/analytics tools
  • Team leadership
  • Project management
  • Retail analytics/domain knowledge

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