Senior Data Engineer - Azure & Databricks Platform Lead

Domino's; Ann Arbor (MI); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Paid Holidays and Vacation

Medical, Dental & Vision benefits from

No-cost mental health support

Childcare tuition discounts

Wellness programs

Fertility benefits

Adoption assistance

401k matching contributions

15% off the purchase price of stock

Company bonus

Job summary

Domino’s is seeking a Senior Data Engineer to design, build, and scale enterprise data solutions on Azure and Databricks. You will own end-to-end pipelines, mentor engineers, and drive modernization across data platforms.

You’ll collaborate with cross-functional teams to deliver real-time and batch analytics, AI/ML, and governance-aligned data products while maintaining security and reliability at scale.

Qualifications

• 8+ years in data engineering for enterprise-scale solutions.
• Advanced Azure, Databricks, Spark, Delta Lake expertise.
• Experience building and optimizing large ETL/ELT pipelines.
• Strong data lakehouse modeling, governance and security knowledge.

Responsibilities

• Design and build scalable data pipelines on Azure Databricks and related tech.
• Lead data product frameworks for structured and unstructured data at scale.
• Automate ingestion, processing, validation and monitoring.
• Define future-state data architecture and cloud migration patterns.
• Mentor engineers, enforce CI/CD, testing, and observability best practices.
• Collaborate with AI/ML and analytics teams for real-time use cases.
• Ensure data governance, privacy and security compliance.

Skills

Azure Data Factory

Databricks

Spark

Delta Lake

ETL Pipelines

RBAC

Terraform

Azure DevOps

Jenkins

Kafka

Tools

Git

ARM templates

Job description

Domino’s is seeking a Senior Data Engineer to design, build, and scale enterprise data solutions on Azure and Databricks. You will own end-to-end pipelines, mentor engineers, and drive modernization across data platforms.

You’ll collaborate with cross-functional teams to deliver real-time and batch analytics, AI/ML, and governance-aligned data products while maintaining security and reliability at scale.