Solution Architect - Data & AI

We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment. You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards. Key Responsibilities Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting Define and govern enterprise-wide data architecture standards, patterns, and reference models Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps Contribute to data governance forums and ensure alignment with regulatory and compliance requirements Mentor and guide solution architects and technical leads across delivery teams

Do you have experience in Google Cloud Platform?, Do you have a Master's degree?, Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking) Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality Strong experience delivering large-scale, data-centric transformation programmes Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP Nice to Have Skills Good exposure to AI/ML platforms, with familiarity in Generative AI use cases Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP) Strong collaboration, adaptability, and entrepreneurial mindset Familiarity with data mesh architectures and domain-oriented data ownership models, Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field

Professional certifications in cloud, architecture, or data management, are advantageous What We Offer Competitive salary Technology-driven organization Open team spirit International environment