Job Description
Job Title:
Enterprise Data Architect About the Role My client is seeking an Enterprise Data Architect to play a pivotal role in shaping and delivering a forward-looking data strategy that supports their transformation goals and aligns with their strategic plan for 2030. The successful candidate will lead a team to optimise data infrastructure, focusing on Master Data Management, big data, AI, and performance reporting. The role involves designing and implementing enterprise data architecture, driving governance and security frameworks, and ensuring the development of actionable insights through performance monitoring and reporting. This position offers the opportunity to provide inspirational leadership to cross-functional teams, deliver strategic outcomes, and establish a culture of professionalism and commercial awareness. Key Responsibilities Enterprise Data Strategy and Architecture Develop and implement an enterprise-wide data strategy, integrating varied data sources and analytic platforms. Drive initiatives in data modelling, warehousing, and integration using tools like Microsoft Dataverse. Design scalable, cloud-based data architectures utilising Azure, AWS, and advanced AI/big data services. Build logical frameworks for data warehouses, data marts, and operational data stores. Partner with cross-functional teams to align data architecture with strategic business goals. Data Security and Governance Create governance frameworks to ensure data quality, privacy, and regulatory compliance. Define and enforce master data management strategies to maintain consistency across systems. Implement policies for secure access, encryption, and data sharing. Maintain detailed documentation of data architecture, lineage, and technical frameworks. Performance Optimisation and Reporting Enhance data architecture to improve performance, ensuring low latency and high throughput. Establish and enforce enterprise standards for data architecture and integration. Design dashboards, reports, and visualisations that meet organisational needs. Collaborate with analysts to develop reporting systems that enable data-driven decision-making. Leadership and Team Development Lead and mentor the Business and Data Architecture team, fostering a collaborative and supportive work environment. Define clear objectives, monitor progress, and manage team performance to ensure high-quality delivery. Provide coaching and development opportunities for team members to reach their full potential. Core Knowledge and Skills In-depth expertise in data architecture design, including modelling and integration with Azure and AWS platforms. Proficient in tools like Python, Power BI, SQL, and Azure Synapse Analytics. Strong understanding of data privacy laws (e.g., GDPR) and governance best practices. Advanced analytic and statistical skills, including hypothesis testing and scenario planning. Exceptional stakeholder management and communication skills. Experience and Qualifications Demonstrated success in designing and implementing cloud-based data solutions. Hands-on experience with AI, machine learning, and data analytic platforms. 5+ years of leadership experience managing database and data quality engineering teams. Certifications in platforms such as Azure Data Engineer are highly desirable. Why Join? My client offers a competitive salary of £68,500 along with an attractive benefits package, including: Hybrid working: Only two days a week in the office. A generous pension scheme to secure your future. A great working environment, with a modern and inspiring office space. A fantastic work culture that values collaboration, innovation, and professional growth. This is a unique opportunity to contribute to meaningful projects that have a significant impact on organisational transformation. You'll have the chance to shape and lead innovative data strategies while working in a collaborative, future-focused environment.
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Enterprise Data Architect About the Role My client is seeking an Enterprise Data Architect to play a pivotal role in shaping and delivering a forward-looking data strategy that supports their transformation goals and aligns with their strategic plan for 2030. The successful candidate will lead a team to optimise data infrastructure, focusing on Master Data Management, big data, AI, and performance reporting. The role involves designing and implementing enterprise data architecture, driving governance and security frameworks, and ensuring the development of actionable insights through performance monitoring and reporting. This position offers the opportunity to provide inspirational leadership to cross-functional teams, deliver strategic outcomes, and establish a culture of professionalism and commercial awareness. Key Responsibilities Enterprise Data Strategy and Architecture Develop and implement an enterprise-wide data strategy, integrating varied data sources and analytic platforms. Drive initiatives in data modelling, warehousing, and integration using tools like Microsoft Dataverse. Design scalable, cloud-based data architectures utilising Azure, AWS, and advanced AI/big data services. Build logical frameworks for data warehouses, data marts, and operational data stores. Partner with cross-functional teams to align data architecture with strategic business goals. Data Security and Governance Create governance frameworks to ensure data quality, privacy, and regulatory compliance. Define and enforce master data management strategies to maintain consistency across systems. Implement policies for secure access, encryption, and data sharing. Maintain detailed documentation of data architecture, lineage, and technical frameworks. Performance Optimisation and Reporting Enhance data architecture to improve performance, ensuring low latency and high throughput. Establish and enforce enterprise standards for data architecture and integration. Design dashboards, reports, and visualisations that meet organisational needs. Collaborate with analysts to develop reporting systems that enable data-driven decision-making. Leadership and Team Development Lead and mentor the Business and Data Architecture team, fostering a collaborative and supportive work environment. Define clear objectives, monitor progress, and manage team performance to ensure high-quality delivery. Provide coaching and development opportunities for team members to reach their full potential. Core Knowledge and Skills In-depth expertise in data architecture design, including modelling and integration with Azure and AWS platforms. Proficient in tools like Python, Power BI, SQL, and Azure Synapse Analytics. Strong understanding of data privacy laws (e.g., GDPR) and governance best practices. Advanced analytic and statistical skills, including hypothesis testing and scenario planning. Exceptional stakeholder management and communication skills. Experience and Qualifications Demonstrated success in designing and implementing cloud-based data solutions. Hands-on experience with AI, machine learning, and data analytic platforms. 5+ years of leadership experience managing database and data quality engineering teams. Certifications in platforms such as Azure Data Engineer are highly desirable. Why Join? My client offers a competitive salary of £68,500 along with an attractive benefits package, including: Hybrid working: Only two days a week in the office. A generous pension scheme to secure your future. A great working environment, with a modern and inspiring office space. A fantastic work culture that values collaboration, innovation, and professional growth. This is a unique opportunity to contribute to meaningful projects that have a significant impact on organisational transformation. You'll have the chance to shape and lead innovative data strategies while working in a collaborative, future-focused environment.
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