Chipotle Mexican Grill

Database Administrator

Columbus, OH, US$87,000-$120,000Posted 22 days ago

Job Description

CULTIVATE A BETTER WORLD

Food served fast does not have to be a typical fast-food experience. Chipotle has always done things differently, both in and out of our restaurants. We are changing the face of fast food, starting conversations, and directly supporting efforts to shift the future of farming and food. We hope you will join us as we continue to learn, evolve, and shape what comes next on our mission to make better food accessible to everyone.

THE OPPORTUNITY

As the Database Administrator, you will plan, implement, monitor, and support Chipotle’s production databases and preproduction that includes partnering with application teams to ensure the feasibility and supportability of database design. Additional preproduction responsibilities include support of development, quality assurance and performance testing. This position provides 7-day, 24-hour on-call coverage for production database systems and requires a strong understanding of the client area's functions as well as system and technology alternatives. This role is ideal for someone who is ready to lead a modern data platform, evolve legacy systems, and deliver observable, secure, and cost-effective data capabilities that power analytics and applications.

LOCATION

This position will be based in our Columbus, OH office 4 days per week (with work from home on Friday). Remote work is not available for this role.

WHAT YOU’LL DO

  • Manage and maintain database, schemas, roles and warehouses
  • Configure and optimize compute resources for performance and cost
  • Monitor storage utilization, query performance and system health
  • Automate administrative tasks using SQL, Python or scripting
  • Implement and maintain role-based access control and security policies
  • Collaborate with data engineers to deploy pipelines (DBT/ADF/SSIS)
  • Support data ingestion from cloud, APIs, and databases
  • Ensure efficient data loading, transformation and partitioning strategies
  • Analyze query executio...

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