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For Companies At a Glance
- Tasks: Lead the data strategy and architecture for a major client, focusing on AI and cloud solutions.
- Company: Join a forward-thinking company transforming data utilisation across industries.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation, shaping the future with cutting-edge technologies.
- Qualifications: 2-3 years in enterprise data environments; expertise in SQL, AWS, and team leadership required.
- Other info: Work in a dynamic environment with a focus on mentorship and continuous learning.
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
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks and Generative AI. Consider taking online courses or certifications that focus on these areas to demonstrate your commitment and expertise.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in mentoring teams during interviews. Think of specific examples where you successfully led a project or initiative, particularly in fast-paced environments, as this will resonate well with our expectations.
✨Tip Number 4
Research our company’s current data strategy and any recent projects we’ve undertaken. This knowledge will not only help you tailor your discussions but also show your genuine interest in contributing to our goals at StudySmarter.
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 your vision for transforming data architecture. Mention your leadership experience and how you can contribute to the company's goals, especially in transitioning to modern cloud-based solutions.
Showcase Relevant Projects: Include details of specific projects where you've implemented data strategies or led architectural designs. Highlight any experience with Generative AI and how it has improved operational efficiencies in previous roles.
Prepare for Technical Questions: Anticipate technical questions related to data architecture, cloud migration, and AI implementation during the interview process. Be ready to discuss your hands-on experience and strategic approach to solving complex data challenges.
How to prepare for a job interview at Boost Talent ltd
✨Showcase Your Strategic Vision
Be prepared to discuss your approach to defining and implementing a comprehensive data strategy. Highlight any past experiences where you successfully optimised high-scale transactional data for business performance.
✨Demonstrate Technical Expertise
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL, MySQL, Oracle, and AWS. Be ready to explain how you've used these tools in previous roles, particularly in relation to data architecture.
✨Engage with Stakeholders
Prepare examples of how you've effectively communicated with senior stakeholders in the past. Emphasise your ability to align technological advancements with business objectives and ensure transparency in decision-making.
✨Highlight Leadership Experience
Discuss your experience in managing and mentoring teams, especially in fast-paced environments. Share specific instances where your leadership has driven innovation and strategic execution within your team.
