Principal Enterprise Data Architect

ZipRecruiter; Leeds; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading company is seeking a highly skilled Principal Enterprise Data Architect to drive their data strategy. This role is pivotal in transforming data utilization, focusing on advanced architectures and cloud solutions. The ideal candidate will have a strong technical background, leadership experience, and the ability to manage a dynamic team. You will engage with senior stakeholders to align data strategies with business objectives, ensuring operational efficiencies and innovation through Generative AI and cloud technologies.

Qualifications

• 2-3 years in large-scale enterprise environments handling high-volume data.
• Proven ability to manage and mentor teams in a fast-paced environment.

Responsibilities

• Define and implement a comprehensive data strategy for business performance.
• Lead architectural design of data warehouses, data lakes, and Databricks.
• Oversee transition from legacy data systems to cloud-based solutions.

Skills

Leadership

Adaptability

Continuous Learning

Tools

SQL

MySQL

Oracle

Databricks

Job description

Job Description

Principal Enterprise Data Architect

Location: Leeds once a month

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.