MDM TECHNICAL LEAD (REMOTE)

Salary:  $140,000 - $150,000 + bonus eligible (commensurate with experience)

 

 

Who We Are

We are Compass Digital—the digital and technology arm of Compass Group North America. We build and scale digital products and technologies to exceed the expectations of our guests and clients. Backed by research, we create remarkable user experiences with increased choice and convenience. We offer end-to-end solutions, simultaneously boosting sales and guest satisfaction.

 

Compass Digital was developed from within Compass Group, focusing on driving transformation and innovation in the hospitality spaces across Business & Industry, Education, and Healthcare. We power digital in the hospitality experience, ensuring that each touchpoint is optimized for guest satisfaction while leveraging data to achieve additional outcomes.

 

We firmly believe in the power of imagination, constantly asking ourselves, “What If?” We are fully integrated into Compass Group, proudly serving its’ various clients through scalable, cutting-edge technologies and solutions.

 

Compass Group is the leading foodservice management and support services company, with $26 billion in revenue in 2023.  In 2023, Compass Group was named one of Forbes’ America’s Best Large Employers along Springbuk’s Healthiest 100 Workplaces in America (since 2019).

Job Summary

We are seeking a Master Data Management (MDM) Tech Lead with strong expertise in AWS Cloud and Python, backed by a solid foundation in data engineering. In this strategic role, you’ll lead the design, development, and implementation of MDM solutions that ensure the integrity, consistency, and reliability of enterprise data assets across platforms.

You’ll collaborate with cross-functional teams including product manager, data architects, engineers, analysts, and business stakeholders to drive data governance, integration, and quality initiatives across the organization.

Key Responsibilities:

• Collaborate with Product Management and stakeholders to align technical execution with business goals and ensure delivery on high-priority roadmap initiatives.
• Design and implement scalable MDM solutions using AWS services such as Glue, Lambda, Redshift, S3, and Step Functions.
• Develop and manage data pipelines for ingestion, cleansing, enrichment, and synchronization of master data using Python.
• Lead MDM practices across domains like customer, product, and vendor to establish consistent, accurate, and trusted enterprise data.
• Define and enforce data quality rules, including matching, merging, and survivorship logic to ensure reliable master data.
• Mentor data engineers and oversee contract/offshore teams, promoting code quality, velocity, and engineering best practices.
• Manage Agile ceremonies including sprint planning, backlog grooming, and delivery tracking using tools like Azure DevOps and Jira.
• Partner with cross-functional teams such as analysts, architects, and operations to ensure seamless data integration and value delivery.
• Leverage AI/ML and generative AI tools (e.g., ChatGPT, Copilot) to accelerate development, enhance automation, and improve engineering productivity.
• Support production operations, proactively monitoring performance, troubleshooting issues, and ensuring high availability of MDM solutions.
• Drive continuous improvement through DevOps practices, automation of workflows, and enhancements to development and operational processes.
• Ensure data governance and compliance, aligning MDM implementations with regulations like GDPR and CCPA, and enterprise governance frameworks.

Qualifications:

• Bachelor’s or Higher degree in computer science, Information Systems, or a related field.
• 4+ years of experience in data engineering or data architecture roles.
• Proficient in working within an Agile environment.
• Preferred 2+ years of hands-on experience leading MDM initiatives or implementing commercial/open-source MDM platforms.
• Deep knowledge of AWS Cloud services (especially S3, Glue, Lambda, Redshift, DynamoDB, Step Functions).
• Proficiency in Python for data processing, automation, and orchestration.
• Strong experience with ETL tools, data lakes, and data modeling for analytical and operational systems.
• Expertise in data integration (e.g., APIs, batch, streaming) and data quality frameworks.
• Excellent problem-solving skills, communication, and stakeholder management a