Data Architect​/Data Engineer; AI Hub

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.

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.

• 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.
• Contribute to business development by identifying opportunities and helping grow our work in the market.

• 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 No
  
  SQL 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.

• 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,…