Enterprise Data Architect

Enterprise Data Architect

Our client, a leader in the financial services sector, is looking for a Enterprise Data Architect to play a critical role in defining and driving forward a next-generation data landscape. This is an exciting contract opportunity to lead high-impact architecture initiatives, collaborate with senior leadership, and influence data transformation at scale. If you're eager to leave your mark on a major enterprise-wide data strategy, this is the role for you.

Job Responsibilities

• Review and define the current and future state of enterprise data architecture across various business units.
• Evaluate and refine data models and architectural blueprints, incorporating industry best practices.
• Collaborate with IT and business stakeholders to secure alignment and support for data strategy roadmaps.
• Lead the analysis and redesign of existing data infrastructure including cloud migration and backup architecture.
• Provide architectural guidance to internal data engineering and analytics teams across project life cycles.
• Act as a key liaison between the data strategy function and centralised governance teams.
• Champion adherence to internal data standards, data governance frameworks, and regulatory compliance.
• Represent the data architecture function in technical forums and cross-functional committees.

Experience Required

• Minimum 5 years' experience in data architecture, data modelling, and data strategy development.
• Proven track record in delivering enterprise-wide architecture and data integration projects.
• Expertise in designing and implementing scalable cloud and on-prem data solutions.
• Strong understanding of data management principles including governance and quality.
• Demonstrated ability to engage and influence cross-functional stakeholders including senior leadership.
• Familiarity with tools such as Snowflake, Azure Data Factory, Oracle, SQL Server, and Power BI/Tableau.
• Working knowledge of regulatory requirements such as GDPR and data retention standards.
• Experience integrating modern BI platforms with Legacy data environments.
• Exposure to data governance frameworks and enterprise architecture methodologies (eg, TOGAF).