Data Platform Engineer

Domino's Corporate•Ann Arbor, MI

4d•Onsite

About The Position

Domino’s is seeking a Databricks Data Platform Engineer to support its data platform at the World Resource Center in Ann Arbor, Michigan. The role administers and supports Databricks workspaces, clusters, jobs, runtimes, compute policies, SQL Warehouses, and platform configurations. It provides L2/L3 production support, troubleshoots platform and performance issues, manages governance and security, and optimizes performance and cloud costs. The engineer also develops CI/CD, automation, orchestration, and Infrastructure-as-Code solutions, collaborates with engineering and operations teams, participates in incident and release processes, and maintains operational documentation. The position requires onsite work at the main office four days per week.

Requirements

At least 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 and 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, including the ability to independently drive issues to resolution.
Ability to work onsite four days per week at the main office in Ann Arbor, Michigan.

Nice To Haves

Hands-on SQL Server administration experience.
Hands-on MongoDB administration experience.

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 or slow jobs, performance bottlenecks, connectivity, resource constraints, and platform availability.
Manage Databricks governance and security, including Entra ID/AAD groups, service principals, permissions, secrets, Unity Catalog, and workspace access.
Optimize performance and costs through 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 and release processes, root cause analysis, and continuous improvement.
Create and maintain operational runbooks, support documentation, and standard operating procedures.
Take ownership of production issues and drive troubleshooting, resolution, and follow-up actions.
Support or troubleshoot SQL Server and MongoDB platform issues as needed and collaborate with the relevant teams.