Data Engineer / Data Architect (AI Hub) - Cairo
About the role
Your key responsibilities
Skills and attributes for success
• Define and evolve end-to-end data architecture blueprints and target-state roadmaps aligned to business goals
• Design modern data platforms (data lake, data warehouse, lakehouse patterns) and guide technology choices across cloud and big data ecosystems
• Build and govern scalable ingestion and integration approaches (batch and streaming), including event-driven architecture awareness
• Strong proficiency in SQL and working knowledge of NoSQL concepts and patterns
• Experience working with Hive in big data environments
• Hands-on familiarity with ETL/ELT design and delivery, including Informatica-based implementations
• Establish and apply data management frameworks, including metadata management and end-to-end data lineage from source to consumption
• Apply data governance and data protection principles, partnering with cybersecurity and data protection teams to embed privacy and security into platform design
• Identify, assess, and manage data risks (data quality, access controls, retention, regulatory/compliance considerations) with a cautious, risk-aware approach
• Awareness of modern architecture approaches such as data fabric and data mesh, and when federated models make sense
• Lead delivery across project lifecycle phases (requirements definition, business re-engineering, application mapping), supervising teams and managing competing priorities
• Ensure timely delivery and alignment with regulatory requirements while monitoring engagement performance against budget
• Contribute to business development by identifying opportunities, shaping client conversations, and supporting growth in the market
• Communicate effectively with technical and non-technical stakeholders and work across service lines to deliver integrated outcomes
• Willingness to travel on short notice when required
To qualify for the role you must have
• Bachelor’s degree and approximately 7+ years of related work experience
• Data Architecture certifications are required and are a key differentiation factor in candidate selection
• Demonstrated work experience of at least 5+ years in a global consulting firm handling a team of at least 4 people
• Hands-on experience on big data and platforms such as Cloudera, Informatica, Databricks, and on cloud platforms such as Azure or AWS
• Demonstrated ability to manage and supervise teams through all phases of the project lifecycle, including requirements definition, business re-engineering, and application mapping
• Industry expertise in one or two domains: Government, Healthcare, Financial Services, Retail, Telecom
• Flexibility and willingness to travel on short notice, as necessary
Ideally you’ll also have
• Track record with a leading consulting firm
• Proficiency in Arabic
• Microsoft Certified: Azure Data Engineer Associate (or equivalent Azure data certification)
• AWS certification relevant to data platforms (for example, AWS listed as a commonly requested certification for senior data architect profiles)
• CDMP (Certified Data Management Professional)
• TOGAF (architecture certification)
• CISSP (security certification, useful for data security and risk-heavy programs)
What we look for
Continuous learning
Success as defined by you
Transformative leadership
Diverse and inclusive culture
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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