- Data platform: Microsoft Fabric (OneLake, Lakehouse,
semantic models, Power BI), four production workspaces
- Data sources: Microsoft Dynamics 365, Locus WMS, Amazon
seller/fulfillment, Shipsy TMS, ZKBio HR, Oracle GL
- Purview instance: Enterprise, managed identity-based scan,
governance domain ME live and published
- Data classification programme: 22 business champions
onboarded, training begins July 20
- DQ commitment: Board-level data quality gate due July 31.
DQ workstream is time-critical.
- KPI programme: Wave 1 KPI definitions are in flight across
all 4 verticals. Glossary terms must align with agreed definitions.
Requirements
Must Have
• Hands-on Microsoft Purview implementation: Unified
Catalog, Data Map, Data Quality, and Classification
• Microsoft Fabric: OneLake, Lakehouse, semantic model
integration with Purview
• Governance domain configuration: data products, glossary
terms, OKRs, health controls
• Purview Data Quality: profiling, DQ rules, DQ scans,
Critical Data Element tagging
• Sensitivity label and auto-classification rule setup
• Ability to work with business data owners, not just IT or
engineering teams
Nice to Have
• Prior experience in logistics, supply chain, or retail
data environments
• Purview OKR and health management configuration
• Microsoft certification: SC-400 or DP-203 preferred
• Familiarity with federated or domain-based data governance
models
Skills Required
- Hands-on Microsoft Purview implementation (Unified Catalog, Data Map, Data Quality, Classification)
- Microsoft Fabric integration (OneLake, Lakehouse, semantic models, Power BI) with Purview
- Governance domain configuration including data products, glossary terms, OKRs, and health controls
- Purview Data Quality: profiling, DQ rules, DQ scans, Critical Data Element tagging
- Sensitivity label configuration and auto-classification rule setup
- Ability to engage and work directly with business data owners (not only IT/engineering)
- Prior experience in logistics, supply chain, or retail data environments
- Purview OKR and health management configuration experience
- Microsoft certification SC-400 or DP-203
- Familiarity with federated or domain-based data governance models
What We Do
AI driven technology solutions for modern enterprises. We help organizations transform, scale, and innovate through a combination of artificial intelligence and advanced software engineering. By applying intelligent automation and data driven systems, businesses can simplify operations, improve efficiency, and unlock new growth opportunities. Our expertise includes AI strategy and consulting to identify high impact opportunities, AI development to build machine learning models and predictive systems, and intelligent automation to streamline workflows and boost productivity. We also deliver cloud migration, application modernization, embedded systems, and digital product engineering to help businesses move beyond legacy limitations and build scalable, future ready solutions. With a strong focus on results, we enable faster time to market, reduced operational costs, and improved performance across critical business functions. Every solution is tailored to specific goals, ensuring measurable outcomes and long term value. Take the next step toward smarter growth. Contact us now for a consultation and start transforming your business today.
