Urgent openings for Senior Azure Cloud & AI Engineer with Master Data Management (Retail) experience :
Location: United States (Hybrid / Remote)
Experience: 10 15 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 handson 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 opensource engineering, data governance, and AIdriven intelligence, including humanintheloop and emerging agentic AI patterns. The architect will also actively leverage AIassisted 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, domainagnostic MDM foundation that enables future expansion without rearchitecture.
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
- Rolebased access and auditability
Product Master (Initial Focus)
- 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
AIDriven Product & Data Intelligence
- Design and implement AIdriven product attribute enrichment
- Apply ML techniques for:
- Attribute inference and classification
- Confidence scoring with explainability
- Data quality and anomaly detection
- Build humanintheloop workflows enabling Merchandising teams to:
- Review AIgenerated recommendations
- Approve or override attributes
- Gate products before downstream consumption
- Explore agentic AI patterns, including:
- Data quality monitoring agents
- Vendor data followup agents
- Attribute drift and remediation agents
Master Data Domains 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 vendor identity, onboarding, and compliance
- Customer / Party Master identity resolution and crosschannel alignment (as applicable)
- Asset & Equipment Master store and distribution center assets
- Workforce / Employee Master workforce reference data for store operations
The architect will establish common patterns for identity management, governance, and stewardship that support incremental domain onboarding.
Key Responsibilities
Architecture & Technical Leadership
- Architect cloudnative MDM platforms on Microsoft Azure
- Define targetstate architectures aligned to enterprise, security, and governance standards
- Drive APIfirst, domaindriven, and eventdriven design patterns
- Provide handson technical leadership across engineering, data, and AI teams
Engineering & Platform Delivery
- 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 costoptimized cloud patterns
AIAssisted Engineering & Developer Productivity
- Build and evolve applications using AIassisted development tools, including:
- GitHub Copilot
- Cursor AI or similar AIfirst IDEs
- Apply AI tools for:
- Code generation and refactoring
- API contract creation
- Test automation and documentation acceleration
- Establish guardrails and best practices for AIaugmented development to ensure:
- Secure, compliant, and maintainable code
- Alignment with enterprise architecture standards
Data, Governance & Integration
- Design flexible data models for highattribute retail domains
- Implement stewardship, approval, and audit workflows
- Integrate with enterprise systems using Azure API Management
Cloud & AI Ecosystem
- 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
- 10 15 years of experience in software engineering, cloud, and data platforms
- Proven experience as a Senior / Principal Cloud or Data Architect
- Demonstrated success delivering enterprisescale data or MDM platforms
Technical Skills
- Deep expertise in Microsoft Azure
- Strong handson experience with:
- React.js
- Spring Boot / Java
- PostgreSQL
- Microservices and APIfirst architectures
- Practical experience with:
- Databricks
- AI/MLdriven data enrichment
- Confidence scoring and data quality techniques
AIAugmented Development
- Proven experience using GitHub Copilot, Cursor, or similar AIassisted development tools in production environments
- Strong judgment in validating and securing AIgenerated code
- Ability to use AI as a force multiplier, not a substitute, for sound engineering practices
Preferred Qualifications
- Retail, merchandising, supply chain, or multivendor product ecosystems
- Experience modernizing or scaling MDM platforms
- Familiarity with agentic AI and AI copilot patterns
- Experience mentoring teams on responsible AIassisted development
- Background working in publiccompany or regulated environments
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