Data Platform Engineer

Chipotle•Columbus, OH

22h•$87,000 - $120,000•Hybrid

About The Position

The Data Platform Engineer for Enterprise Data at Chipotle will be an active participant and driver in ensuring our platform and infrastructure continues to mature and evolve to support current and future data initiatives, security and reliability. Responsibilities include building out our Terraform solutions and processes to enable digital architecture and infrastructure as a service. This role will also be responsible for maintaining, designing and implementing infrastructure within our cloud and Snowflake environments. Your experience and thought leadership will be able to make a direct impact as we modernize the way we deploy, maintain and scale our platforms.

Requirements

Have a B.A./B.S. and 3-5 years of relevant work experience, or an equivalent in education and experience.
(2-3 years) Experience with Terraform for managing both Azure infrastructure and enterprise data platform objects (DBT, Snowflake, Databricks, etc.).
(2-3 years) Strong understanding of Azure services (Data Lake, Storage Accounts, Networking, Security).
(2-3 years) Experience with Azure DevOps for building CI/CD pipelines to automate infrastructure and code deployments.
High Level understanding of cloud networking and best practices in data security.

Nice To Haves

Experience working in a fast-paced, enterprise environment is a plus.

Responsibilities

Design, deploy, and maintain infrastructure as code through Terraform.
Core infrastructure includes Azure (Data Lake, Storage Accounts, Cloud Networking, Function Apps, App Registrations), Databricks and Snowflake.
Implement automated deployment pipelines using Azure DevOps to streamline infrastructure and code deployments for efficiency, reliability, and scalability.
Collaborate with lead data engineers, data architects, and security teams to build a robust and secure data ecosystem.
Troubleshoot and optimize cloud networking, storage, and performance issues through monitoring resources such as Application Insights, Analytics Workspaces, and Datadog.
Provide technical inputs and leadership into the maturation of Chipotle’s data management platforms.
Ability to handle ambiguity to improve our processes, patterns and standards.