Data Architect defining data domains, models, and principles for Intelance's EA function. Collaborating with architects to ensure data lineage and integration.
Responsibilities
Work with Enterprise, Solution, and Business Architects to define the client’s data architecture baseline (domains, entities, owners, flows).
Identify and document key data sources, integrations, and reporting layers across core systems (ERP, project systems, engineering tools, etc.).
Design high-level conceptual and logical data models for priority domains (e.g. projects, assets, work orders, finance, risk, compliance).
Define data principles, standards, and guidelines (naming, keys, reference data, quality rules, retention).
Map data lineage for critical reports and interfaces, highlighting breaks, quality issues, and technical debt.
Provide data input into HLA/HLD designs for 1-2 pilot projects going through the new EA workflow.
Collaborate with Integration and Security Architects to ensure APIs, data services, and controls align with the target data architecture.
Contribute to the EA repository with clear, versioned data artefacts and diagrams.
Advise client teams on priorities for data improvement (master data, reporting, governance) and help shape a realistic data roadmap.
Requirements
7+ years’ experience in Data Architecture, Data Modelling, or related roles.
Proven track record designing conceptual and logical data models for complex, multi-system environments.
Experience mapping data flows and lineage across transactional systems, integrations, and reporting platforms.
Strong understanding of data management practices: data quality, master data, reference data, metadata, retention, and ownership.
Hands-on exposure to at least one modern data and analytics platform (e.g. Azure Data Platform, SQL Server, Oracle, Snowflake, SAP BW/HANA, or similar).
Comfortable working with integration patterns (APIs, ETL/ELT, streaming) and collaborating closely with Integration Architects.
Able to explain data concepts clearly to both technical and non-technical stakeholders.
Excellent communication skills in English and comfortable working in a hybrid model (remote plus occasional on-site visits to Casablanca and/or London).
Benefits
Play a key role in defining the data foundations of a new Enterprise Architecture capability for a major engineering and project-delivery group.
Work in a small, senior team focused on practical outcomes rather than heavy bureaucracy.
Hybrid working model - remote by default, with targeted on-site trips to build strong relationships and run critical workshops.
Exposure to Intelance’s broader EA, Cybersecurity, and AI work and the chance to influence how data is treated across multiple clients.
Competitive compensation with options for freelance / Ltd company engagement or longer-term collaboration.
Direct access to Intelance leadership and the opportunity to help shape our data architecture methods and accelerators.
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