Data Engineer Manager
Manager
Big Data
Bigdata
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Data
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Database
Databricks
Databricks Lakehouse
Databricks Pyspark
Databricks Workflows
ETL
Informatica
Job Description
Join Tire Rack as a Data Engineering Manager onsite in South Bend, Indiana, where you’ll lead the team behind the enterprise data platform. This role focuses on building scalable, secure, and cost-efficient data solutions using Databricks and AWS, while shaping how data pipelines, governance, and modernization initiatives move forward across the organization.
What you’ll do
- Lead and grow a Data Engineering team spanning entry-level through Senior, including mentorship, performance management, career development, succession planning, hiring, and workforce planning.
- Build a team culture centered on ownership, collaboration, quality, accountability, and continuous improvement.
- Oversee the architecture and delivery of data pipelines using Databricks, Spark, Delta Lake, Workflows, and Unity Catalog.
- Guide the evolution of the Bronze/Silver/Gold medallion architecture.
- Ensure scalable, secure AWS infrastructure using services such as S3, IAM, Glue, Lambda, and VPC.
- Establish strong CI/CD and Infrastructure-as-Code practices, including Terraform.
- Drive data governance, security, compliance, data quality, monitoring, and reliability initiatives.
- Set SLAs and operational standards for critical data platforms and pipelines.
- Lead performance optimization and cloud cost-management strategies.
- Own incident management and root-cause analysis to improve platform reliability over time.
- Translate business needs into scalable, sustainable technical solutions.
- Partner with BI, Analytics, Data Science, Software Development, and other IT teams.
- Help define the enterprise data roadmap and lead data-platform modernization efforts.
- Evaluate emerging Databricks and AWS capabilities and identify opportunities for adoption.
What you bring
- 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 solutions on AWS, including storage, identity and access management, networking, and compute optimization.
- Experience leading cloud data-platform modernization initiatives.
- Strong 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.
- Ability to collaborate with and influence cross-functional stakeholders.
- Strong communication, problem-solving, and strategic planning skills.
Location and schedule
- Location: 7015 Vorden Pkwy, South Bend, Indiana (onsite)
- Work schedule: Normal work days are Monday through Friday. Occasional weekend work may be necessary based on business or operational needs.
- Job type: Full Time
- Category: Information Technology
- Salary: Dependent on Experience
Education
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related technical field, or equivalent experience.
Technologies
Databricks, Spark, Delta Lake, Workflows, Unity Catalog, AWS, S3, IAM, Glue, Lambda, VPC, Terraform, CI/CD
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