Data Engineer Manager

Tire Rack

South Bend (IN)

On-site

USD 150,000 - 190,000

Full time

4 days ago

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Job summary

Tire Rack is seeking an experienced Data Engineering leader to guide the enterprise data platform built on Databricks and AWS. You will mentor engineers, shape architecture, and partner with analytics, data science, software development, and IT to deliver secure, scalable data solutions that power business decisions.

The role emphasizes governance, reliability, cost optimization, and continuous improvement, with responsibility for SLAs, incident response, and modernization.

Qualifications

8+ years progressive data engineering experience.
3+ years in a leadership role (Supervisor/Manager level).
Deep Databricks knowledge: Spark, Delta Lake, Workflows, Unity Catalog.
Strong AWS data platform design, security, and cost optimization.
Experience modernizing cloud data platforms and governance.

Responsibilities

Lead and mentor a Data Engineering team from entry to senior levels.
Own performance management, career development, and hiring.
Oversee data pipelines using Databricks, Spark, Delta Lake, and AWS.
Govern data architecture, governance, security, and reliability.
Define SLAs and optimize cloud costs and CI/CD standards.

Skills

Leadership

Mentoring

Team building

Strategic planning

Stakeholder mgmt

Communication

Problem solving

Tools

Databricks

Spark

Delta Lake

Workflows

Unity Catalog

AWS

IAM

Glue

Lambda

Terraform

CI/CD

Job description

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