> Markdown version of [/jobs/ext/3691519-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3691519-data-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Platform Engineer - **Company:** Domino’s - **Location:** Ann Arbor, MI, United States - **Experience:** Expert - **Contract:** Franchise - **Skills:** Microsoft Access, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Data Infrastructure, Microsoft SQL Server, MongoDB, Azure Active Directory, DataOps, SQL Databases, Terraform, Databricks - **Published:** October 11, 2026 - **Apply:** https://www.juju.com/job/15_007ade86 ## About the Role * 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. ## Description * 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.