D365 F&O Data Architect

D365 F&O Data Architect

Location: Bothell, WA/ Remote

Long term contact position

we need the resource to attend the customer workshop on Sep 8th in Bothell area.

The D365 F&O Data Architect is responsible for designing, governing, and optimizing the end-to-end data architecture for Microsoft Dynamics 365 Finance & Operations.

The opportunity:

• Data Architecture & Design
• Design end to end data architecture for D365 F&O, covering Finance, Supply Chain, Manufacturing, and Operations modules.
• Define data models, canonical schemas, and enterprise data standards aligned with business processes.
• Data Integration & Platforms
• Architect data movement from D365 F&O using:
• Data Management Framework (DMF)
• BYOD
• Azure Data Lake (Export to Data Lake)
• Analytics & Reporting Enablement
• Enable enterprise reporting using Power BI, ensuring optimal data models and performance.
• Support KPI definition, semantic modeling, and reconciliation with F&O source data.
• Data Governance & Quality
• Define and enforce data governance, including:
• Data ownership
• Data definitions and lineage
• Master and reference data strategy
• Implement data quality controls, validation rules, and reconciliation processes.
• Ensure compliance with security, audit, and regulatory requirements.
• Collaboration & Leadership
• Work closely with F&O functional consultants, solution architects, data engineers, and business SMEs.
• Provide architectural guidance and reviews for F&O data related design decisions.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:

• 8-14 years overall IT experience
• 6+ years in Dynamics 365 F&O data architecture / analytics / integrations
• Strong hands-on experience with Microsoft Dynamics 365 Finance & Operations data model and entities.
• Deep understanding of DMF, BYOD, and Export to Data Lake patterns.
• Strong SQL skills and experience handling large enterprise datasets.
• Experience designing data solutions on Azure (Data Lake, Synapse, Databricks, SQL).
• Experience enabling analytics using Power BI (data modeling, performance optimization).
• Solid understanding of Finance and/or Supply Chain business processes.

Regards,

Shivani Pandey