Data Architect Azure

• Define how commercial and customer data works across the combined estate.
• Start with the contract and entitlement model that several in-flight programmes depend on.
• Produce an enterprise data entity map across core business entities, identifying systems of record, relationships, and conflicts.
• Establish canonical definitions and named owners with commercial, finance, product, and engineering stakeholders.
• Design the canonical contract and entitlement model, supporting prepaid wallet, subscription-with-overage, and a new blended model, with effective dating, versioning, and full lineage from invoice line back to usage event.
• Define the target quote-to-cash flow, keeping operational billing and analytical reporting paths cleanly separated.
• Profile contract, entitlement, and usage data, and assess quality and migration remediation.
• Specify the data contracts between CRM, rating/billing, and finance, and the requirements for usage rating and metering.
• Model, profile, and write the specifications that engineering and finance teams build from.

Technologies:

• AWS
• CRM
• Fabric
• Flow
• GCP
• Cloud
• API
• Architect
• Azure
• Cosmos DB
• DevOps
• HubSpot
• MySQL
• Power BI
• SQL

More:

We are a fast-growing RegTech group providing identity verification, AML, and digital compliance solutions to regulated businesses. Following a recent acquisition, we are bringing two established platforms together and investing heavily in the data foundations that will underpin the combined group. This is a hands-on architecture role based in West Yorkshire with 1-2 days per week in the office, reporting to the Group Director of Architecture. We offer a salary of up to £85,000, a 10% bonus, private healthcare, and more. This is a rare opportunity to define the data model our groups commercial future depends on, with genuine autonomy and visible impact across major transformation programmes.

• Strong enterprise data modelling across conceptual, logical, and physical layers in a multi-system estate, with real examples of entity maps and canonical models produced.
• Experience modelling contract, entitlement, subscription, or usage-based billing data; temporal modelling and point-in-time reconstruction are non-negotiable.
• Data architecture experience in a regulated environment, including auditability, lineage, retention, and PII handling under UK GDPR.
• Ability to design both OLTP and OLAP pathways without conflating them.
• Practical data governance experience, including glossaries, ownership, stewardship, and data quality.
• Ability to bring commercial, finance, product, and engineering stakeholders together to agree definitions.
• Microsoft Fabric experience, or directly transferable depth on AWS or GCP data platforms.
• Experience in RegTech, fintech, or another compliance-driven domain.
• Post-acquisition integration experience across two estates and two data models.