See all jobs on JobTailor
Search thousands of fresh jobs every day.
- Fresh listings
- Fast filters
- No subscription required

Data Architect
Chain IQ Group AGData Architect role focused on evolving enterprise data architecture at Chain IQ, a global AI-driven Procurement Service Partner. Collaborating across teams to ensure consistency and governance of data.
Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in architecting enterprise data platforms, including relational, document, graph, and vector data architectures, while ensuring alignment with enterprise information architecture and governance frameworks. Capable of designing semantic models and retrieval architectures that integrate structured and unstructured information to support analytics and AI initiatives.
ATS Keywords
Tailor your resumeTip: use these terms in your resume and cover letter to boost ATS matches.
About the role
Key responsibilities & impact- Define and evolve the enterprise data architecture across transactional systems, analytical platforms, semantic models and AI platforms.
- Design the overall information architecture spanning: OLTP systems, Lakehouse, Data Products, Semantic Models, Ontologies, Knowledge Graphs, Context Graphs, Vector Stores, AI Retrieval Architecture.
- Define canonical business entities, relationships, taxonomies and domain boundaries across the enterprise.
- Architect how structured, semi-structured and unstructured information is connected into a unified enterprise knowledge model.
- Design how documents, contracts, communications, workflows and business events are transformed into governed enterprise knowledge.
- Define patterns for entity resolution, relationship management, provenance, confidence scoring and temporal modelling.
- Establish modelling standards for transactional, analytical, semantic and graph workloads.
- Design multi-tenant information models supporting isolation while enabling reusable platform capabilities.
- Work closely with the Data Governance Lead to ensure architecture and governance evolve together through ownership models, metadata, lineage, quality controls and automated guardrails.
- Partner with Product, AI and Engineering to ensure new capabilities build upon shared enterprise information assets rather than isolated datasets.
- Guide engineering teams on data modelling decisions, balancing delivery speed with long-term architectural integrity.
- Ensure new data products align with enterprise information architecture and contribute reusable business capabilities.
Requirements
What you’ll need- Strong experience architecting enterprise data platforms across both operational and analytical environments.
- Deep understanding of relational, document, graph and vector data architectures and where each should be applied.
- Experience designing enterprise semantic models, canonical business entities and domain-driven information models.
- Experience defining information architectures that support products, analytics, automation and AI simultaneously.
- Understanding of knowledge graph concepts, ontologies, semantic modelling and enterprise metadata management.
- Strong understanding of data products, domain-oriented architecture and modern lakehouse patterns.
- Experience designing retrieval architectures that combine structured, unstructured and contextual information.
- Understanding of metadata, lineage, provenance, stewardship and governance frameworks.
- Ability to work across Product, Platform, Data, AI, Security and Enterprise Architecture.
- Excellent communication skills in English with the ability to simplify complex architectural decisions for both technical and business audiences.
- A pragmatic mindset that balances architectural integrity with rapid delivery.
Benefits
Comp & perks- Health insurance
- Flexible working hours
- Professional development opportunities
- Dynamic and international environment
- Great Place to Work-certified