Intelance is a specialist consultancy in Enterprise Architecture Cybersecurity and AI. We are building a lean senior team to stand up a new Enterprise Architecture function for a major engineering and project-delivery group in North Africa. We are looking for an experienced Data Architect to define data domains models and principles map key data flows and support our architects with clear practical guidance on data lineage and integration.
Tasks
- Work with Enterprise Solution and Business Architects to define the clients 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).
Nice to have
- Experience in engineering construction energy utilities or other project-driven industries.
- Knowledge of BI/reporting tools (e.g. Power BI) and how reports should be designed on top of well-structured models.
- Familiarity with data governance frameworks and tools (data catalogues business glossaries).
- French language skills and/or experience working with Francophone or North African clients.
- Previous work alongside Enterprise Architecture teams or within an EA-governed environment.
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 Intelances 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.
If you are a Data Architect who enjoys turning messy scattered data into clear models lineage and principles that drive real decisions we would like to hear from you.
Shortlisted candidates will be invited to a brief introductory call followed by a practical case discussion with the Intelance team.
Intelance is a specialist consultancy in Enterprise Architecture Cybersecurity and AI. We are building a lean senior team to stand up a new Enterprise Architecture function for a major engineering and project-delivery group in North Africa. We are looking for an experienced Data Architect to define ...
Intelance is a specialist consultancy in Enterprise Architecture Cybersecurity and AI. We are building a lean senior team to stand up a new Enterprise Architecture function for a major engineering and project-delivery group in North Africa. We are looking for an experienced Data Architect to define data domains models and principles map key data flows and support our architects with clear practical guidance on data lineage and integration.
Tasks
- Work with Enterprise Solution and Business Architects to define the clients 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).
Nice to have
- Experience in engineering construction energy utilities or other project-driven industries.
- Knowledge of BI/reporting tools (e.g. Power BI) and how reports should be designed on top of well-structured models.
- Familiarity with data governance frameworks and tools (data catalogues business glossaries).
- French language skills and/or experience working with Francophone or North African clients.
- Previous work alongside Enterprise Architecture teams or within an EA-governed environment.
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 Intelances 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.
If you are a Data Architect who enjoys turning messy scattered data into clear models lineage and principles that drive real decisions we would like to hear from you.
Shortlisted candidates will be invited to a brief introductory call followed by a practical case discussion with the Intelance team.
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