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
Skills Required
- 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
- Experience with lakehouse architectures
- Experience with graph databases
- Experience with vector databases
- Deep understanding of knowledge graphs, ontology design, semantic modeling, metadata management, and enterprise data architecture
- Experience building AI-ready data platforms supporting LLMs, 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
ELEKS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ELEKS and has not been reviewed or approved by ELEKS.
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Wellbeing & Lifestyle Benefits — Well-being support is positioned as a meaningful part of the package, including mental-health/psychological support and wellness offerings in some locations. Flexible work options (remote-friendly/hybrid and flexible hours) also add day-to-day lifestyle value beyond base pay.
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Leave & Time Off Breadth — Time-off coverage is described as broad, with paid vacation and sick leave plus additional paid days for life events and the option for unpaid days. Sabbatical-like options are also referenced, suggesting additional flexibility for extended leave in some circumstances.
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Equity Value & Accessibility — Long-term rewards include opportunities to buy company shares or convert a yearly bonus into shares. This provides an additional wealth-building path beyond salary for eligible employees.
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What We Do
ELEKS is the partner of choice for many of the world's leading enterprises, SMEs and technology challengers. We help businesses elevate their value through custom software development, product design, QA and consultancy services. We deliver high tech innovations to Fortune 500 companies, big enterprises and technology challengers, improving the ways they work and boosting the value they create for the modern world. Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe, the US and UK, provide our clients with a full range of software services. These include dedicated teams, product development, R&D and technology consulting. For more information, please visit: eleks.com
