Data Platform Engineering Manager – Databricks & AWS

Tire Rack

South Bend (IN)

In loco

USD 150.000 - 190.000

Tempo pieno

4 giorni fa
Candidati tra i primi
Generatore di candidature

Ricevi una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Descrizione del lavoro

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.

Competenze

  • 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.

Mansioni

  • 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.

Conoscenze

Leadership
Mentoring
Team building
Strategic planning
Stakeholder mgmt
Communication
Problem solving

Strumenti

Databricks
Spark
Delta Lake
Workflows
Unity Catalog
AWS
S3
IAM
Glue
Lambda
Terraform
CI/CD

Descrizione del lavoro

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.

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