Data Architect (Lead) – Strategic Guidance & Governance

Project information:Industry: bankingLocation 1-2 days per month at the office, the rest remotelyRate: We’re open to your suggestionsContract: B2BLength: long-termWe’re looking for a senior Data Architect to provide strategic direction and best-practice guidance for data architecture across the organization. You will support and mentor a team of Data Architects and collaborate closely with Product Owners, Solution Architects, and Data Engineers to translate business needs into scalable, secure, and high-performing data solutions.Main Responsibilities:Define and communicate the data architecture vision (governance, integration, modelling, data management).Guide and support Data Architects in designing and implementing solutions aligned with business and technology strategy.Partner with cross-functional stakeholders to capture requirements and drive architecture decisions for data products and platforms.Establish and enforce data governance frameworks, data quality standards, and data protection measures to ensure integrity and security.Drive adoption of data standards, best practices, and consistent delivery processes across teams.Mentor the team and foster a culture of collaboration, innovation, and continuous improvement.Stay current with emerging data technologies and recommend tools/methodologies to strengthen architecture capabilities.Key Requirements:Leadership: Strong leadership skills to effectively support and inspire a team of Data Architects.Data Architecture Expertise: Deep understanding of data architecture principles, data modelling, data integration, and data management.Communication with Impact: Strong communication skills to convey complex data architecture concepts effectively to technical and non-technical stakeholders.Consulting: Established consulting skills to provide valuable insights and guidance to cross-functional teams.Relationship/Stakeholder Management: Expertise in managing relationships and stakeholders at various levels.Problem Solving: Advanced problem-solving skills to analyse complex data challenges and develop innovative solutions.Data Governance: Strong understanding of data governance principles and frameworks.