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For Companies At a Glance
- Tasks: Lead the transformation of data strategy and architecture for a major client.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation, shaping the future with AI and cloud technologies.
- Qualifications: 2-3 years in enterprise data environments; strong SQL and AWS skills required.
- Other info: Opportunity to mentor a growing team and influence strategic decisions.
The predicted salary is between 72000 - 108000 £ per year.
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.
Contact Detail:
Boost Talent ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Enterprise Data Architect
✨Tip Number 1
Network with professionals in the data architecture field, especially those who have experience with AWS and large-scale data environments. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in data strategy.
✨Tip Number 2
Showcase your leadership skills by discussing past experiences where you successfully managed teams or projects. Be prepared to share specific examples of how you mentored others and drove strategic initiatives in a fast-paced environment.
✨Tip Number 3
Familiarise yourself with the latest advancements in Generative AI and how they can be applied to data architecture. Being able to discuss innovative ideas on leveraging AI for data analysis will set you apart from other candidates.
✨Tip Number 4
Prepare to engage in discussions about stakeholder management. Think of ways to demonstrate your ability to communicate effectively with senior stakeholders and align technological solutions with business objectives.
We think you need these skills to ace Principal Enterprise Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in enterprise-level data environments, particularly focusing on your expertise with SQL, MySQL, Oracle, and cloud services like AWS. Use specific examples that demonstrate your ability to handle high-volume data and lead teams.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data strategy and transformation. Discuss how your skills align with the key responsibilities of the role, such as implementing data architecture and leveraging Generative AI. Be sure to mention your leadership experience and adaptability.
Showcase Relevant Projects: If applicable, include a section in your application that showcases relevant projects you've worked on. Highlight any experience with transitioning legacy systems to cloud-based solutions or leading teams in fast-paced environments, as these are crucial for this role.
Prepare for Technical Questions: Anticipate technical questions related to data architecture, cloud services, and AI implementation during the interview process. Brush up on your knowledge of data lakes, data warehouses, and the specific technologies mentioned in the job description to demonstrate your expertise.
How to prepare for a job interview at Boost Talent ltd
✨Showcase Your Strategic Vision
Be prepared to discuss your vision for data strategy in detail. Highlight how you would approach transitioning from traditional data warehouses to data lakes, and how you plan to leverage AI and GenAI in this process.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of SQL, MySQL, Oracle, and AWS cloud services. Be ready to provide examples of how you've successfully implemented these technologies in previous roles, particularly in large-scale enterprise environments.
✨Engage with Stakeholders
Prepare to discuss how you would engage with senior stakeholders, such as Chief Data Officers. Think about how you can align technological advancements with business objectives and be ready to share examples of past experiences where you've done this.
✨Highlight Leadership Skills
Since this role involves managing and mentoring a team, be ready to talk about your leadership style. Share specific examples of how you've developed teams in fast-paced environments and how you adapt your approach to meet the needs of your team members.
