**Role summary –**
We are looking for a senior Data Architect who will also act as the Technical Product Owner (TPO) for our data platform. This role combines hands-on architecture leadership with product ownership of the technical roadmap and backlog (workload is shared across both responsibilities). Strong Azure data platform experience is required; D365 understanding is a value add.
**Key responsibilities (Data Architecture) –**
- Define and maintain target-state data architecture (conceptual/logical/physical) and reference patterns.
- Design scalable Azure data solutions (batch + streaming), data models, and integration patterns.
- Ensure security, compliance, performance, reliability, and cost efficiency (FinOps-aware architecture).
- Govern architecture standards, design reviews, and technical decision-making across squads/teams.
- Partner with enterprise architecture, security, and domain teams to align data products with business outcomes.
**Key responsibilities (Technical Product Owner) –**
- Own the technical product vision, roadmap, and backlog for the data platform and data products.
- Translate platform needs into epics/features/user stories with clear acceptance criteria and non-functional requirements.
- Prioritize work using value/risk/cost and manage dependencies across integration, analytics, and ERP domains.
- Drive delivery ceremonies with the team (refinement, sprint planning support, demos, release readiness).
- Define and track product metrics (e.g., pipeline reliability SLAs, data quality KPIs, lead time, platform adoption).
- Act as the primary point of contact for platform stakeholders and ensure transparent communication.
**D365 value-add scope –**
- Define patterns for consuming/integrating data from D365 F&O / CE, Dataverse, and related integration methods (e.g., data entities, BYOD, dual-write—depending on landscape).
- Support ERP reporting and analytics use cases in finance/supply chain/manufacturing domains.
**Required qualifications –**
7+ years in data architecture / data engineering with architecture ownership. Strong experience with Azure data services, including several of:
- ADLS, ADF, Synapse and/or Microsoft Fabric, Databricks
- Event Hubs / streaming concepts
- Azure SQL / SQL MI (and/or other data stores as relevant)
- Strong SQL + data modeling (dimensional and/or data vault).
- Proven ability to drive technical roadmap + backlog (product ownership mindset).
- Strong stakeholder management, communication, and prioritization skills.
**Nice to have –**
- Dynamics 365 (F&O/CE) integration and data concepts.
- CI/CD + IaC for data platforms (Azure DevOps/GitHub, Terraform/Bicep).
- Power BI semantic modeling and enterprise reporting patterns.
- Data governance/metadata tools and data observability practices.
**Key deliverables / outcomes –**
- Target data architecture + standards, reference designs, reusable templates.
- Prioritized technical roadmap and a well-groomed backlog aligned to measurable outcomes.
- Improved data quality, lineage, reliability, and reduced delivery lead time.
- Increased platform adoption and reduced integration complexity.
