Data Architect

We are seeking a highly experienced Data Architect to lead and govern customers's enterprise data architecture, ensuring alignment with strategic business objectives, data transformation initiatives, and regulatory requirements. About the Role This is a senior leadership role responsible for shaping and driving the organization's data architecture roadmap, supporting the transition towards a Data Mesh operating model, and establishing data architecture standards, principles, and governance frameworks. The successful candidate will work closely with business stakeholders, data product teams, platform engineering teams, and senior leadership to enable scalable, secure, and compliant data solutions. Responsibilities • Define, maintain, and govern the enterprise data architecture strategy aligned to Customer's business and technology objectives. • Lead the design and evolution of data architecture supporting the transition to a Data Mesh approach. • Establish data architecture principles, standards, and best practices across the organization. • Provide architectural leadership for enterprise data platforms, analytics, and AI initiatives. • Ensure data solutions are scalable, secure, interoperable, and compliant with regulatory and governance requirements. • Collaborate with business and technology stakeholders to translate business requirements into future-state data architecture designs. • Drive consistency across data domains, products, models, and integration patterns. • Support data governance initiatives, including data quality, metadata management, lineage, and master data management. • Review and approve architecture designs, ensuring adherence to enterprise architecture standards. • Act as a trusted advisor to leadership teams on data strategy, architecture, and technology decisions. • Identify opportunities to improve data accessibility, reusability, and business value across the enterprise. Qualifications • Extensive experience as a Data Architect, Enterprise Data Architect, or Lead Data Architect within large-scale enterprise environments. • Strong understanding of modern data architecture principles, including Data Mesh, Data Fabric, and cloud-based data ecosystems. • Proven experience designing and governing enterprise-wide data platforms and data operating models. • Deep knowledge of data modelling, data integration, metadata management, and data governance practices. • Experience supporting regulatory and compliance requirements within complex organizations. • Strong stakeholder engagement skills with the ability to influence senior business and technology leaders. • Experience working across data engineering, analytics, business intelligence, and AI functions. • Excellent communication, leadership, and decision-making capabilities. Required Skills • Experience within regulated industries such as Energy, Utilities, Financial Services, or Telecommunications. • Knowledge of cloud platforms such as Azure, AWS, or Google Cloud. • TOGAF, DAMA, or equivalent architecture and data management certifications. • Experience implementing Data Mesh principles and domain-oriented data ownership models. • Familiarity with data governance and enterprise architecture frameworks.