Data Engineer / Data Architect (AI Hub) - Cairo

We are the AI Hub delivering advisory services focused on data architecture and data-driven transformation.  We work closely with client and internal stakeholders, including cybersecurity and data protection teams, data analysts, and data scientists to ensure use cases have a solid foundation and deliverables meet expectations.    We support organizations in designing and delivering next-generation data platforms to accelerate analytics, decision-making, and innovation. Our work typically includes assessing architecture maturity, defining target-state data platform blueprints, and building pragmatic roadmaps that cover governance, protection, migration, and cloud enablement. We deliver in a consulting environment that requires strong stakeholder management, delivery discipline, compliance with regulatory requirements, and coordination across service lines when integrated delivery is needed.    Sound interesting? Well this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.   The opportunity   This role sits within our AI Hub and focuses on data architecture advisory. You will help clients design and deliver modern data platforms that enable data-driven transformation.  You will assess current-state architecture, identify gaps and strategic goals, and define a clear improvement roadmap across topics such as data governance, data protection, data migration, and cloud journey.   Your key responsibilities   You will manage up to two projects in parallel, working closely with senior business leaders (Directors and Partners) to ensure delivery quality, manage risk, and meet client expectations on outcomes and timelines.  In this fast-moving space, you are also expected to contribute to business development by identifying opportunities and helping grow our work in the market.   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