About the Job
The company is a global AI-first, digital transformation, and engineering partner with over 25 years of experience. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products. With a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We collaborate with clients such as McLaren, Aviva, Deloitte, Spotify, and Disney, delivering modern applications, data platforms, and AI solutions using leading technologies like AWS, Azure, and GCP.
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Responsibilities
- Define and own the programme's data and integration architecture, including canonical data models and enterprise integration patterns.
- Design API-first, event-driven integration solutions across multiple workstreams.
- Produce and govern Interface Control Documents (ICDs), API specifications, and integration standards.
- Design scalable data platform architectures covering ingestion, storage, processing, and consumption layers.
- Establish data governance, classification, lineage, quality, and master data management standards.
- Ensure data sovereignty and residency requirements are embedded into architectural designs.
- Participate in Architecture Review Boards, providing architectural assurance for data and integration decisions.
- Collaborate with third-party defence contractors and system integrators to ensure interoperability and compliance.
Profile Requirements
- 7–12 years of experience in data or integration architecture on enterprise-scale or government programmes.
- Experience delivering complex integration solutions in regulated, government, or defence environments.
- Strong knowledge of enterprise integration platforms including MuleSoft, IBM MQ, Kafka, or Azure Service Bus.
- Expertise in API design, governance, OpenAPI, and AsyncAPI.
- Experience designing modern data platforms, including data lakes and data warehouses.
- Strong understanding of master data management and data governance.
- 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 or real-time streaming platforms in secure environments.
- Understanding of FAIR data principles.
- Security clearance eligibility (SC or equivalent).
- Relevant certifications (AWS Certified Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, etc.).
Language Requirements
- Proficiency in English is likely required, although not explicitly stated in the job description.
Recruitment Process
- CV review
- HR call
- Interview
- Client Interview
- Decision
