Data Architect & Technical Product Owner - Azure Data Platform

Role description

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:

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.

Skills

Mandatory skills: Azure Analysis Services, Azure Data Factory, AZURE DATA LAKE, Data Architecture, Dimensional Data Modeling, Azure SQL, Synapse, Azure Fabric

About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/