Principal Enterprise Data Architect
Location: Leeds once a month
Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.
About the Role
We are seeking a highly skilled Principal Enterprise Data Architect to drive the next five years of our clients data strategy.
This role is crucial in shaping how they utilise data efficiently, transitioning from traditional data warehouses to data lakes and developing a common data platform for forecasting and operational efficiencies using AI and GenAI.
You will be at the heart of transforming transactional data, leveraging AWS technologies, and enhancing decision-making capabilities across the enterprise.
Key Responsibilities
Strategic Leadership: Define and implement a comprehensive data strategy, ensuring high-scale transactional data (handling terabytes of data) is optimized for business performance.
Data Architecture Expertise: Lead the architectural design of data warehouses, data lakes, and Databricks, ensuring seamless integration for AI-driven forecasting and operational analytics.
GenAI Implementation: Leverage Generative AI to streamline data gathering, analysis, and presentation for business operations.
Cloud & Infrastructure Migration: Oversee the transition from legacy data systems to modern cloud-based solutions, driving efficiency and scalability.
Stakeholder Engagement: Work closely with senior stakeholders, including Chief Data Officers, to align technological advancements with business objectives.
Leadership & Team Development: Manage and mentor a team of data architects and potentially technical/solution architects (currently 2 permanent staff, 2 contractors, with up to 4 additional hires).
Fast-Paced Execution: Adapt to a highly dynamic environment, driving innovation and strategic execution while remaining hands-on.
Honest & Direct Communication: Provide clear, direct, and open discussions with stakeholders, ensuring transparency and alignment in decision-making.
Required Skills & Experience
Enterprise-Level Data Expertise: 2–3 years in large-scale enterprise environments (e.g., retail, betting & gaming, banking) handling high-volume data
Technical Background: Extensive experience with SQL, MySQL, Oracle, and architectures for data warehouses, data lakes, and Databricks.
Cloud Proficiency: Strong expertise in AWS cloud services and infrastructure.
Strategic & Hands-On Approach: A blend of high-level strategic vision and deep technical execution.
Leadership Experience: Proven ability to manage and mentor teams in a fast-paced, evolving environment.
Adaptability & Continuous Learning: Passionate about learning new technologies and staying ahead of industry trends.
This role calls for a true expert with a vision for data strategy, a strong technical foundation, and the leadership skills to drive change.
