ABOUT CLIENT

Our customer is building a next-generation AI platform that enables organizations to securely develop, govern, and operationalize artificial intelligence while ensuring that sensitive data and organizational knowledge remain fully under their control. The platform combines advanced AI capabilities with enterprise-grade governance, security, and data sovereignty to support mission-critical decision-making.

The solution serves government organizations, NGOs, and enterprise customers operating in highly regulated and security-sensitive environments, where reliability, accountability, and trust are essential.

REQUIREMENTS

10+ years of experience in Data Engineering, Data Architecture, Platform Engineering, or related leadership roles
Proven experience building and scaling modern cloud-based data platforms in enterprise environments
Strong expertise with Snowflake, lakehouse architectures, graph databases, vector databases, and modern data platforms
Deep understanding of knowledge graphs, ontology design, semantic modeling, metadata management, and enterprise data architecture
Experience building AI-ready data platforms supporting LLMs, Retrieval-Augmented Generation (RAG), vector search, and AI applications
Experience designing enterprise APIs, developer platforms, and data products for external customers
Strong knowledge of data governance, lineage, privacy, security, and enterprise access control
Experience defining enterprise data strategy and leading architecture decisions
Hands-on experience with modern ETL/ELT pipelines, orchestration frameworks, and production data services
Experience working with cross-functional Product, Engineering, AI, and Commercial teams
Strong leadership, stakeholder management, and communication skills
Experience building and leading high-performing technical teams
Upper-Intermediate or higher level of English

RESPONSIBILITIES

• Define and lead the enterprise intelligence product strategy, architecture, and operating model
• Drive the evolution of a modern enterprise data platform supporting AI, analytics, and commercial data products
• Design scalable data architecture, semantic models, and knowledge graph capabilities
• Define enterprise ontology, metadata, governance, and interoperability standards
• Lead the development of AI-ready data services, APIs, and developer-facing platforms
• Define architecture supporting structured, semi-structured, and unstructured data at scale
• Partner with Engineering, AI, Product, and Commercial teams to transform data assets into reusable intelligence products
• Establish standards for data quality, lineage, provenance, security, and lifecycle management
• Define commercialization requirements for enterprise data products, including APIs, licensing models, access control, SLAs, and observability
• Evaluate and recommend technologies across cloud data platforms, graph databases, vector stores, orchestration, and AI infrastructure
• Lead architecture decisions supporting AI-native applications, LLM integrations, and semantic search capabilities
• Build and mentor a high-performing team of data architects, engineers, and platform specialists
• Act as a strategic technical advisor for executive stakeholders and drive long-term data platform vision