Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
- Defining and owning the programme's data and integration architecture, including canonical data models and enterprise integration patterns.
- Designing API-first, event-driven, and message-based integration solutions across multiple workstreams.
- Producing and governing Interface Control Documents (ICDs), API specifications, and integration standards.
- Designing scalable data platform architectures covering ingestion, storage, processing, and consumption layers.
- Establishing data governance, classification, lineage, quality, and master data management standards.
- Ensuring data sovereignty and residency requirements are embedded into architectural designs.
- Participating in Architecture Review Boards and providing architectural assurance for data and integration decisions.
- Collaborating with third-party defence contractors and system integrators to ensure interoperability and compliance.
Your profile:
- 7–12 years of experience in data or integration architecture on enterprise-scale or government programmes.
- Experience delivering complex integration solutions across regulated, government, or defence environments.
- Strong knowledge of enterprise integration platforms including MuleSoft, IBM MQ, Kafka, Azure Service Bus, AWS EventBridge, or similar.
- Expertise in API design, governance, OpenAPI, AsyncAPI, and API management platforms.
- Experience designing modern data platforms, including data lakes, lakehouses, ETL/ELT pipelines, and data warehouses.
- Strong understanding of master data management, data governance, data classification, and lineage.
- Experience producing architecture artefacts including ICDs, canonical data models, API specifications, and data flow diagrams.
- Excellent stakeholder management and communication skills.
Nice to have:
- Familiarity with defence data exchange standards such as STANAG, NIEM, or MIL-STD.
- Experience with Saudi NDMO data governance policies or GCC data localisation regulations.
- Knowledge of Apache Kafka, AWS Kinesis, or real-time streaming platforms in secure environments.
- Understanding of FAIR data principles.
- GCC or KSA government programme experience.
- Security clearance eligibility (SC or equivalent).
- AWS Certified Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, MuleSoft Integration Architect, or TOGAF certification.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
