Data Architect / Data Engineer (AI Hub)📣 إعلان

About the Role

EY's AI Hub is seeking a Data Architect / Data Engineer to join our team in Riyadh. This role focuses on delivering advisory services centered on data architecture and data-driven transformation. You will work closely with clients and internal stakeholders to ensure the successful design and implementation of next-generation data platforms.

Role Context and Responsibilities

As part of the AI Hub, you will support organizations in designing and delivering modern data platforms to accelerate analytics and decision-making. Your work will involve assessing architecture maturity, defining target-state data platform blueprints, and building pragmatic roadmaps covering governance, protection, migration, and cloud enablement. This consulting environment requires strong stakeholder management, delivery discipline, and compliance with regulatory requirements. You will manage up to two projects in parallel, working with senior business leaders to ensure quality delivery, manage risk, and meet client expectations on outcomes and timelines. Additionally, you will contribute to business development by identifying opportunities and supporting market growth.

Key Responsibilities

• 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.
• Establish and apply data management frameworks, including metadata management and end-to-end data lineage.
• Apply data governance and data protection principles, partnering with cybersecurity and data protection teams.
• Identify, assess, and manage data risks (data quality, access controls, retention, regulatory/compliance considerations).
• Lead delivery across project lifecycle phases, 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 and shaping client conversations.
• Communicate effectively with technical and non-technical stakeholders and work across service lines to deliver integrated outcomes.

Qualifications and Experience

• Bachelor’s degree and approximately 7+ years of related work experience.
• Data Architecture certifications are required.
• 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 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.
• Industry expertise in one or two domains: Government, Healthcare, Financial Services, Retail, Telecom.
• Willingness to travel on short notice, as necessary.

Technical Skills

• 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.
• Awareness of modern architecture approaches such as data fabric and data mesh.

Ideal Candidate Attributes

We are looking for individuals who are confident in developing and promoting strategic vision, possess business acumen, and have a passion for innovation. Proficiency in Arabic is also beneficial.