Data Architect

We are looking for an experienced Data Architect to join Devapo and take a leading role in shaping next-generation data platforms for our international projects. With growing demand across our portfolio, we are expanding our Data Architecture practice - building knowledge graphs, integrating AI agents, and turning complex business data into predictive intelligence.

At Devapo, we provide our clients with more than just code - we want to equip them with tools that allow their businesses to flourish. Our clients' success is our success, which is why we ensure that everyone who creates Devapo has a long-term goal in mind.

• Minimum 5 years of experience in Data Architecture or Data Engineering, ideally including complex supply chains (Sustainability, Logistics, or Finance verticals preferred)
• Proven experience with Knowledge Graphs (Neo4j, Azure PostgreSQL with Apache AGE, AWS Neptune, or similar)
• Hands-on experience with Graph Neural Networks and complex ontology building
• Expert-level experience with the Azure ecosystem, specifically Microsoft Fabric and Azure AI Foundry
• Hands-on experience integrating LLMs and agentic frameworks into production environments (for classification, insight generation, risk assessment)
• Strong programming skills (Python)
• Solid background in data modeling, schema design, and metadata management
• "Builder" mindset - comfortable moving between architecture, code, and stakeholder conversations
• Fluency in English (written and spoken)

Nice to have:

• Familiarity with geospatial (GIS) data structures and overlaying them onto data graphs
• Background in sustainability, ESG, traceability, or certification domains
• Experience with Azure DevOps and CI/CD pipelines for data solutions
• Knowledge of data governance tools (Azure Purview or similar)

• Translate complex business and regulatory standards into structured digital requirements, ontologies, and metadata schemas
• Design and manage knowledge graphs mapping relationships across products, entities, and geographic regions
• Lead the architecture of a Modern Data Stack using Microsoft Fabric, Azure AI Foundry, and advanced LLMs (Claude, GPT-4)
• Develop predictive data models combining historical data with real-time geospatial (GIS) signals to anticipate risks and identify patterns
• Deploy AI agents to autonomously assess risks across transactions, audit reports, and business processes
• Refine anomaly detection - identifying inconsistencies and data mismatches through automated collation
• Champion a rapid incremental roadmap, balancing visionary architecture with functional releases that deliver immediate value
• Create "data stories" that explain complex insights to both technical and non-technical stakeholders
• Collaborate closely with product, engineering, and domain experts to shape end-to-end data solutions