ES
Master Data Management (Retail) with Azure
Epsilon Solutions LTD
š Worldwide
Remote
Staff / Principal
2 months ago
- Azure Cloud
- AI
- Cursor
- Identity Management
- Azure
- Spring Boot
- Java
- PostgreSQL
- React.js
- CI/CD
- Test Automation
- AKS
- Azure Functions
- Azure AI
- Azure OpenAI
- Databricks
- Microservices
- AI/ML
- Copilot
2 months ago
Location: Remote, Canada
Term: Long Term Contract
Experience: 10ā15 Years
Job Level: Senior / Staff / Principal Individual Contributor
Role Summary
We are seeking a Senior Azure Cloud & AI Engineer to architect, build, and scale enterprise Master Data Management (MDM) platforms for a large, complex retail environment. This role will lead the design and handsāon delivery of Location Master and Product Master solutions that serve as foundational systems for Stores, Supply Chain, Merchandising, and Purchasing.
The role blends Azure cloud architecture, modern openāsource engineering, data governance, and AIādriven intelligence, including humanāinātheāloop and emerging agentic AI patterns. The architect will also actively leverage AIāassisted development tools such as GitHub Copilot and Cursor to accelerate delivery while maintaining enterprise standards for security, quality, and maintainability.
While the immediate focus is on Location and Product Master, the platform is expected to evolve over time to support additional master data domains. The role is responsible for establishing a flexible, domaināagnostic MDM foundation that enables future expansion without reāarchitecture.
Core Master Data Domains
Location Master (Initial Focus)
- Enterprise management of:
- Stores
- Terminal Hubs
- Distribution / Ship Centers
- Support for 400+ store attributes, owned by multiple business teams
- Strong requirements for:
- Attribute governance and validation
- Versioning, lineage, and lifecycle management
- Roleābased access and auditability
- Scalable intake of product data from 800+ vendors
- Normalization and validation of core product attributes
- Enablement for:
- Merchandising review and approval
- Purchase Order eligibility
- Supply chain and store execution
AIāDriven Product & Data Intelligence
- Design and implement AIādriven product attribute enrichment
- Apply ML techniques for:
- Attribute inference and classification
- Confidence scoring with explainability
- Data quality and anomaly detection
- Build humanāinātheāloop workflows enabling Merchandising teams to:
- Review AIāgenerated recommendations
- Approve or override attributes
- Gate products before downstream consumption
- Explore agentic AI patterns, including:
- Data quality monitoring agents
- Vendor data followāup agents
- Attribute drift and remediation agents
Master Data Domains ā Future Evolution
While not required at launch, the MDM platform will be designed to naturally expand over time to support additional retail master data domains, including:
- Vendor / Supplier Master ā vendor identity, onboarding, and compliance
- Customer / Party Master ā identity resolution and crossāchannel alignment (as applicable)
- Asset & Equipment Master ā store and distribution center assets
- Workforce / Employee Master ā workforce reference data for store operations
Key Responsibilities
Architecture & Technical Leadership
- Architect cloudānative MDM platforms on Microsoft Azure
- Define targetāstate architectures aligned to enterprise, security, and governance standards
- Drive APIāfirst, domainādriven, and eventādriven design patterns
- Provide handsāon technical leadership across engineering, data, and AI teams
- Design and build services using:
- Spring Boot / Java
- PostgreSQL
- RESTful and asynchronous APIs
- Build intuitive, scalable user experiences using React.js
- Implement CI/CD, observability, reliability, and costāoptimized cloud patterns
- Build and evolve applications using AIāassisted development tools, including:
- GitHub Copilot
- Cursor AI or similar AIāfirst IDEs
- Apply AI tools for:
- Code generation and refactoring
- API contract creation
- Test automation and documentation acceleration
- Establish guardrails and best practices for AIāaugmented development to ensure:
- Secure, compliant, and maintainable code
- Alignment with enterprise architecture standards
- Design flexible data models for highāattribute retail domains
- Implement stewardship, approval, and audit workflows
- Integrate with enterprise systems using Azure API Management
- Leverage Azure services including:
- Azure Kubernetes Service (AKS)
- Azure Functions (as appropriate)
- Azure AI / Azure OpenAI
- Databricks for ML pipelines and enrichment workflows
- Ensure AI solutions meet enterprise standards for:
- Responsible AI usage
- Security and compliance
- Explainability and auditability
Required Qualifications
Experience
- 10ā15 years of experience in software engineering, cloud, and data platforms
- Proven experience as a Senior / Principal Cloud or Data Architect
- Demonstrated success delivering enterpriseāscale data or MDM platforms
- Deep expertise in Microsoft Azure
- Strong handsāon experience with:
- React.js
- Spring Boot / Java
- PostgreSQL
- Microservices and APIāfirst architectures
- Practical experience with:
- Databricks
- AI/MLādriven data enrichment
- Confidence scoring and data quality techniques
- Proven experience using GitHub Copilot, Cursor, or similar AIāassisted development tools in production environments
- Strong judgment in validating and securing AIāgenerated code
- Ability to use AI as a force multiplier, not a substitute, for sound engineering practices
Preferred Qualifications
- Retail, merchandising, supply chain, or multiāvendor product ecosystems
- Experience modernizing or scaling MDM platforms
- Familiarity with agentic AI and AI copilot patterns
- Experience mentoring teams on responsible AIāassisted development
- Background working in publicācompany or regulated environments
Master Data Management (Retail) with Azure Ā· Epsilon Solutions LTD