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Domino’s Technology

Enterprise Data Architect

Ann Arbor, Michigan, Domino's Pizza LLC

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About Us

Domino’s Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we’re a reshaped, reenergized brand of honesty, transparency and accountability – not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 80% of our sales in the U.S. are taken through digital channels. The brand continues to ‘deliver the dream’ to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That’s just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you’d like to be a part of, consider joining our team!

Job Description

This senior technical data architect role will provide thought leadership for how we use data across the company. As a key contributor to the Dominos Data Transformation initiative, the Data architect would work with Business / Technology teams to identify and chart the technology and strategy roadmap to unlock value from enterprise data assets. The ideal candidate will have hands-on experience in large scale modern data warehouse development and had success leading cross-team technical discussions that drive key decisions, operational efficiency and build competitive advantage.  The architect would partner with Digital/AI/ML Architects and teams to define data activation frameworks.

Role: Hybrid (at Dominos Headquarters, Ann Arbor). Tues-Thursday in office 

Salary: 140-160k based on experience plus 15% annual bonus 

Not able to provide sponsorship on this role 


  • Develop and execute the enterprise data strategy, in alignment with business objectives and requirements, to ensure effective data management and governance across the organization.
  • Architect and design data solutions that integrate customer data, marketing data, and streaming data, enabling advanced analytics, real-time insights, and personalized customer experiences.
  • Design and implement a scalable data lakehouse using Databricks, enabling efficient data storage, processing, and analytics across structured, semi-structured, and unstructured data sources.
  • Collaborate with cross-functional teams, including business stakeholders, data scientists, data engineers, and IT teams, to define data requirements, identify opportunities, and deliver high-quality data solutions.
  • Participate in the definition of future data management architecture, with alignment to value creation opportunities across the business.
  • Performing proof of concepts, object-oriented analysis/design, assessing new technologies, identifying data lineage, and performing complex data analysis and analytics
  • Communicate the companywide Architecture strategy and direction to both management and development teams
  • Stay current with new and emerging technologies and make recommendations on their adoption.
  • Understand compliance and risk management requirements for supported areas
  • Partner with architects across Data Science and Digital organizations to create data activation frameworks supporting realtime (or near realtime) needs.


  • Experience with multiple full life-cycle data warehouse / transformation implementations in public cloud
  • Proven experience working as an Enterprise Data Architect or a similar role, preferably in large-scale organizations.
  • Deep technical knowledge of 1 public cloud services
  • Experience with Data warehouse architecture and ETL integration (Teradata, Oracle, SQL Server, Ab Initio, and SSIS)
  • Deep understanding of data architectures that utilize Data Lakehouse / Data Mesh
  • Business & financial acumen to advise on product planning, conducts research & analysis and identifying business value of new and emerging technologies. 
  • Strong SQL and database skills  working with large structured and unstructured data
  • Strong familiarity with enterprise reporting solutions (PowerBI, Qlik, Tableau), data virtualization and semantic modeling
  • Expertise with solution development using No-SQL data platforms
  • System development lifecycle (SDLC), Agile Development, DevSecOps, and common software development tools such as Git and Jira
  • Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences.
  • Infrastructure as Code (IaC) technologies such as Azure Resource Manager (ARM) or Terraform
  • Familiarity with Docker, and docker orchestration like Docker Compose or Kubernetes
  • Familiarity with AI/MLOps concepts and Marketing technology (Good to have)


Preferred Qualifications:

  • Experience in the foodservice or retail industry, preferably with a focus on customer data and marketing analytics.
  • Certification in Microsoft Azure.

Additional Information

Role: Hybrid (at Dominos Headquarters, Ann Arbor). Tues-Thursday in office 

Not able to provide sponsorship on this role 

All your information will be kept confidential according to EEO guidelines

Apply Now

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