Manager, Data Engineering

Full job description Manager, Data Engineering )

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 Manager will oversee Data Engineering teams and is one of the thought leaders for enterprise data solutions and delivery across the company. This role will lead, manage, and continue to build the enterprise data engineering function and strategy at Chipotle along with mentoring and coaching teams of data engineers. This high impact role will have an opportunity to lead a team to build our enterprise data solutions and work with emerging technologies such as Snowflake, Azure Data Lake/ADF, DBT and more.

This leader is an expert at developing, implementing, and operating stable, scalable, low-cost enterprise data solutions.

• Lead and support the enterprise Data Engineering teams through design, develop, test, implement, and support of Chipotle's next generation enterprise data solutions.
• Oversee and manage data engineering across many Agile teams and data pods supporting all enterprise data initiatives to ensure that there is strong planning and execution along with quality and rigor.
• Key contributor to the data engineering technical strategy for Chipotle's enterprise data solutions.
• Define, measure, review, and implement the data engineering standards and best practices including data engineering processes, tools, and documentation.
• Collaborate with Product team, other Tech leaders/teams and business partners at all stages of the data delivery life cycle.
• Build, lead, and mentor the team(s) toward growth and improvement. Conduct regular 1:1s with each direct report, quarterly 4x4 conversations and career development plans.

• Bachelor's degree in Computer Science, Information Systems or related degree preferred.
• 5+ years of experience in a related field (Data Warehousing, Business Intelligence, Analytics).
• 2-3 years of experience managing data engineering teams and/or leading Agile scrum teams in development.
• 3+ years of experience with Modern Data Architecture (Snowflake, Azure Data Lakes, DBT, Five Tran, etc.).
• Strong experience leading technical discussions, conducting code reviews, and contributing to solution designs/architecture.
• Excellent verbal and written communication skills, ability to communicate clearly with senior leadership.
• Proficient experience in Data engineering and data modeling (physical and logical).
• Understanding of data engineering best practices with an Agile focus.

A reasonable estimate of the current base salary range for this position is $145,000 - $200,000. You are also eligible for annual cash bonuses and equity awards based upon performance and other factors. Actual compensation offered may vary depending on skill level, experience, and/or education. Chipotle offers a competitive total rewards package, which includes medical, dental, and vision insurance, 401k, sick leave, vacation time, and much more.

Primary

Location:

California - Newport Beach - 9998 - 610 Newport Office-(09998)

Chipotle Mexican Grill is an equal opportunity employer that values diversity at all levels. As a people-first company rooted in values, our purpose extends beyond serving nutritious food using real ingredients. It means hiring world-class individuals and fostering a culture that champions diversity, ensures equity, and celebrates inclusion. All qualified applicants, regardless of personal characteristics, are encouraged to apply. Qualified applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws.

Please contact A if you need assistance or an accommodation due to a disability.