Data Platform Engineer

Domino's Corporate

Ann Arbor (MI)

On-site

USD 120,000 - 180,000

Full time

10 days ago
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Benefits offered by this job

Paid Holidays
Medical & Vision benefits
Mental health support
Childcare discounts
Wellness programs
Fertility benefits
Adoption assistance
401k matching
Stock purchase discount
Company bonus

Job summary

Domino’s Corporate in Ann Arbor, MI, is seeking a Databricks Data Platform Engineer to administer Databricks workspaces, clusters, and governance while optimizing performance and cost. The role partners with Data Engineering, Infrastructure, Security, and DBA teams to keep production stable and compliant.

The candidate will implement CI/CD pipelines and Infrastructure-as-Code using Azure DevOps and Terraform, and participate in incident management and RCA activities.

Qualifications

  • 5+ years of hands-on experience with Azure Databricks administration and L2/L3 production support.
  • Strong hands-on cloud experience, preferably Azure, including networking, storage, identity/access, security, monitoring, and Databricks integration.
  • Proven experience troubleshooting complex production issues involving Databricks performance, connectivity, availability, jobs, and resource constraints.
  • Strong communication, ownership, and problem-solving skills with the ability to independently drive issues to resolution.

Responsibilities

  • Administer and support Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations.
  • Troubleshoot and resolve production issues involving cluster instability, failed/slow jobs, performance bottlenecks, connectivity issues, resource constraints, and platform availability.
  • Manage Databricks governance and security, including Entra ID/AAD groups, service principals, permissions, secrets, Unity Catalog, and workspace access.
  • Perform performance and cost optimization, including cluster sizing, autoscaling, Photon, workload optimization, compute policies, and cloud cost reduction.
  • Develop and maintain CI/CD, automation, job orchestration, and Infrastructure-as Code solutions using tools such as Azure DevOps and Terraform.
  • Collaborate with Data Engineering, DataOps, Infrastructure, Security, DBA, and vendor teams to resolve production issues and support platform operations.
  • Participate in incident management, change/release processes, root cause analysis (RCA), and continuous improvement activities.
  • Create and maintain operational runbooks, support documentation, and standard operating procedures.
  • Take ownership of production issues and independently drive them through troubleshooting, resolution, and follow-up actions.
  • Good to have SQL Server and MongoDB administration/support experience, with the ability to troubleshoot platform issues as needed and collaborate effectively with required teams.

Skills

Databricks admin
Azure cloud
Production issue troubleshooting
Communication & ownership
On-site collaboration

Tools

Azure DevOps
Terraform
SQL Server
MongoDB

Job description

Job Description

Domino’s continues its journey towards the dominant #1 Pizza Company in the world and sound data is the most fundamental of assets that helps us drive towards that. To help accelerate our drive, we are looking for a driven Databricks Data Platform Engineer to join our team at World Resource Center (WRC) in Ann Arbor, MI.

Main Responsibilities
  • Administer and support Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations.
  • Troubleshoot and resolve production issues involving cluster instability, failed/slow jobs, performance bottlenecks, connectivity issues, resource constraints, and platform availability.
  • Manage Databricks governance and security, including Entra ID/AAD groups, service principals, permissions, secrets, Unity Catalog, and workspace access.
  • Perform performance and cost optimization, including cluster sizing, autoscaling, Photon, workload optimization, compute policies, and cloud cost reduction.
  • Develop and maintain CI/CD, automation, job orchestration, and Infrastructure-as Code solutions using tools such as Azure DevOps and Terraform.
  • Collaborate with Data Engineering, DataOps, Infrastructure, Security, DBA, and vendor teams to resolve production issues and support platform operations.
  • Participate in incident management, change/release processes, root cause analysis (RCA), and continuous improvement activities.
  • Create and maintain operational runbooks, support documentation, and standard operating procedures.
  • Take ownership of production issues and independently drive them through troubleshooting, resolution, and follow-up actions.
  • Good to have SQL Server and MongoDB administration/support experience, with the ability to troubleshoot platform issues as needed and collaborate effectively with required teams.
Qualifications
  • 5+ years of hands-on experience with Azure Databricks administration and L2/L3 production support.
  • Strong hands-on cloud experience, preferably Azure, including networking, storage, identity/access, security, monitoring, and Databricks integration.
  • Proven experience troubleshooting complex production issues involving Databricks performance, connectivity, availability, jobs, and resource constraints.
  • Strong communication, ownership, and problem-solving skills with the ability to independently drive issues to resolution.
  • Good to have: Hands-on experience with SQL Server and MongoDB administration.
  • Work Location: Ability to work onsite 4 days per week at the main office in Ann Arbor, MI.
Additional Information
Benefits
  • Paid Holidays and Vacation
  • Medical, Dental & Vision benefits that start on the first day of employment
  • No-cost mental health support for employee and dependents
  • Childcare tuition discounts
  • No-cost fitness, nutrition, and wellness programs
  • Fertility benefits
  • Adoption assistance
  • 401k matching contributions
  • 15% off the purchase price of stock
  • Company bonus

All your information will be kept confidential according to EEO guidelines.

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