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Data Architect (Lisbon, PT) @ Chain IQ Group AG

Lisbon, PTOnsiteFull-timePosted today

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About this role

<p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;background-color:#ffffff;color:black"><strong>At Chain IQ, your ideas move fast.</strong></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;background-color:#ffffff;color:black">Chain IQ is a global AI-driven Procurement Service Partner, headquartered in Baar, Switzerland, with operations across main centers and 16 offices worldwide. We provide tailored, end-to-end procurement solutions that enable transformation, drive scalability, and deliver substantial reductions in our clients&apos; indirect spend. Our culture is built on innovation, entrepreneurship, ownership, and impact. Here, your voice matters - bold thinking is encouraged, and action follows ambition.</span></p> <p> </p><div> </div> <div> <p>We are building an AI-native procurement platform where data is no longer treated as a reporting asset, but as the foundation for products, automation, reasoning and intelligent decision-making. </p> </div> <div> <p>This role defines the enterprise data architecture spanning operational systems, analytical platforms, semantic models, ontologies, knowledge graphs, context graphs and AI-ready data products. You ensure that information is structured once, understood consistently, governed appropriately and reusable across every application, workflow, analytics solution and AI capability. </p> </div> <div> <p>This is a senior, hands-on architecture role. You work across Product, Platform, Data, AI, Security and Enterprise Architecture to define how information is modelled, stored, linked, governed and consumed throughout the organisation. </p> </div> <div> <p>Rather than optimizing individual technologies, you architect an information ecosystem that supports today&apos;s operational needs while providing the foundation for tomorrow&apos;s autonomous agents, semantic reasoning and intelligent automation. </p> </div> <div> <p> </p> </div> <div> <p><strong>Responsibilities </strong></p> </div> <div> <ul> <li>Define and evolve the enterprise data architecture across transactional systems, analytical platforms, semantic models and AI platforms. </li> <li>Design the overall information architecture spanning: </li> </ul> </div> <div> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>OLTP systems </p> </li> </ul> </li> </ul> </div> <div style="padding-left:40.0px"> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>Lakehouse </p> </li> </ul> </li> </ul> </div> <div style="padding-left:40.0px"> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>Data Products </p> </li> </ul> </li> </ul> </div> <div style="padding-left:40.0px"> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>Semantic Models </p> </li> </ul> </li> </ul> </div> <div style="padding-left:40.0px"> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>Ontologies </p> </li> </ul> </li> </ul> </div> <div style="padding-left:40.0px"> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>Knowledge Graphs </p> </li> </ul> </li> </ul> </div> <div style="padding-left:40.0px"> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>Context Graphs </p> </li> </ul> </li> </ul> </div> <div style="padding-left:40.0px"> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>Vector Stores </p> </li> </ul> </li> </ul> </div> <div style="padding-left:40.0px"> <ul> <li style="list-style-type:none"> <ul style="list-style-type:disc"> <li> <p>AI Retrieval Architecture </p> </li> </ul> </li> </ul> </div> <div> <ul> <li>Define canonical business entities, relationships, taxonomies and domain boundaries across the enterprise. </li> <li>Architect how structured, semi-structured and unstructured information is connected into a unified enterprise knowledge model.</li> <li>Design how documents, contracts, communications, workflows and business events are transformed into governed enterprise knowledge.</li> <li>Define patterns for entity resolution, relationship management, provenance, confidence scoring and temporal modelling.</li> <li>Establish modelling standards for transactional, analytical, semantic and graph workloads.</li> <li>Design multi-tenant information models supporting isolation while enabling reusable platform capabilities.</li> <li>Work closely with the Data Governance Lead to ensure architecture and governance evolve together through ownership models, metadata, lineage, quality controls and automated guardrails.</li> <li>Partner with Product, AI and Engineering to ensure new capabilities build upon shared enterprise information assets rather than isolated datasets.</li> <li>Guide engineering teams on data modelling decisions, balancing delivery speed with long-term architectural integrity.</li> <li>Ensure new data products align with enterprise information architecture and contribute reusable business capabilities. </li> </ul> </div> <div> <p> </p> </div> <div> <p><strong>What you will work with </strong></p> </div> <div> <ul> <li>Enterprise operational data models</li> <li>Lakehouse and medallion architectures</li> <li>Data Products</li> <li>Canonical domain models</li> <li>Business ontologies</li> <li>Knowledge Graphs</li> <li>Context Graphs</li> <li>Document-to-entity pipelines</li> <li>Entity resolution</li> <li>Relationship extraction</li> <li>Temporal modelling</li> <li>Metadata and catalog platforms</li> <li>Lineage and provenance</li> <li>Vector indexes and embedding pipelines</li> <li>Retrieval architectures</li> <li>Graph traversal and semantic reasoning</li> <li>Multi-agent context architectures </li> </ul> </div> <div> <p> </p> </div> <div> <p><strong>Artifacts &amp; deliverables you should expect </strong></p> </div> <div> <ul> <li>Enterprise Information Architecture</li> <li>Canonical enterprise data model</li> <li>Domain model definitions</li> <li>Enterprise ontology</li> <li>Knowledge Graph schema</li> <li>Context Graph architecture</li> <li>Reference architectures for Data Products</li> <li>Information modelling standards</li> <li>Data Product design principles</li> <li>Entity modelling guidelines</li> <li>Relationship modelling standards</li> <li>Document ingestion patterns</li> <li>Retrieval architecture</li> <li>Reference implementations for semantic enrichment</li> <li>Architecture Decision Records</li> <li>Enterprise modelling roadmap </li> </ul> </div> <div> <p> </p> </div> <div> <p><strong>Requirements </strong></p> </div> <div> <ul> <li>Strong experience architecting enterprise data platforms across both operational and analytical environments.</li> <li>Deep understanding of relational, document, graph and vector data architectures and where each should be applied.</li> <li>Experience designing enterprise semantic models, canonical business entities and domain-driven information models.</li> <li>Experience defining information architectures that support products, analytics, automation and AI simultaneously.</li> <li>Understanding of knowledge graph concepts, ontologies, semantic modelling and enterprise metadata management.</li> <li>Strong understanding of data products, domain-oriented architecture and modern lakehouse patterns.</li> <li>Experience designing retrieval architectures that combine structured, unstructured and contextual information.</li> <li>Understanding of metadata, lineage, provenance, stewardship and governance frameworks.</li> <li>Ability to work across Product, Platform, Data, AI, Security and Enterprise Architecture.</li> <li>Excellent communication skills in English with the ability to simplify complex architectural decisions for both technical and business audiences.</li> <li>A pragmatic mindset that balances architectural integrity with rapid delivery. </li> </ul> </div> <div> <p> </p> </div> <div> <p><strong>How we approach data architecture </strong></p> </div> <div> <ul> <li>Information is a platform capability, not an implementation detail. </li> <li>Business meaning is defined once and reused everywhere.</li> <li>Relationships are as important as individual data.</li> <li>Knowledge is modelled explicitly, not recreated inside applications.</li> <li>Data products inherit enterprise semantics rather than defining their own.</li> <li>Governance should be automated wherever possible.</li> <li>Architectures should evolve incrementally while remaining internally coherent. </li> </ul> </div> <div> <p> </p> </div> <div> <p><strong>Why this role matters </strong></p> </div> <div> <p>Our competitive advantage is built upon a shared enterprise understanding of procurement, suppliers, contracts, obligations, risks, workflows and decisions. </p> </div> <div> <p>Without a coherent information architecture, every product, AI capability and analytical solution will gradually diverge, increasing complexity, reducing trust and limiting reuse. </p> </div> <div> <p>This role ensures the organisation develops a unified enterprise knowledge foundation that enables consistent products, scalable automation, explainable AI, reusable data products and intelligent agent orchestration across the platform. </p> </div> <div> <p> </p> </div> <div> <p>I would make one structural distinction from your current thinking: </p> </div> <div> <ul style="list-style-type:disc"> <li> <p>Enterprise Architect owns the architecture of the systems (applications, platforms, integrations, security boundaries, operating model).</p> </li> <li> <p>Data Architect owns the architecture of the information (data, semantics, ontologies, knowledge graphs, context graphs, retrieval, data products, AI-ready knowledge). </p> </li> </ul> </div> <div> <p>Those two roles should be peers and work very closely together. Given the importance of knowledge graphs and context graphs to your platform, I would consider the Data Architect one of the three or four most strategically important technical hires in the entire organisation. </p> </div><p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black;background-color:white"><strong>Join a truly global team.</strong></span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black;background-color:white">We offer a dynamic and international environment where high performance meets real purpose. We&apos;re proud to be Great Place to Work-certified and even prouder of the people who make that possible. Let’s shape the future of procurement - together.</span></p> <p> </p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;color:black;background-color:white"><strong>Chain IQ – Create. Lead. Make an impact.</strong></span></p> <p> </p> <p> </p> <p> </p> <p><span style="color:black;background-color:white"><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;background-color:white"><em>Information for agencies: </em></span><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt;background-color:white"><em>Applications sent or uploaded by placement agencies or similar are not desired, will therefore not be considered and will be deleted.</em> </span></span></p> <p> </p>

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