Data Architect & Technical Product Owner (Azure Data Platform)

Om jobbet

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.