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For Companies At a Glance
- Tasks: Lead the data strategy and architecture for a major client, focusing on cloud solutions and AI.
- Company: Join a forward-thinking company transforming data utilisation in various industries.
- Benefits: Enjoy flexible working with remote options and opportunities for professional growth.
- Why this job: Be at the forefront of data innovation, shaping the future of enterprise data management.
- 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 54000 - 84000 £ 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.
Principal Enterprise Data Architect employer: Boost Talent ltd
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 Generative AI. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends that could give you an edge.
✨Tip Number 2
Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks and cloud migration strategies. 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've successfully led projects or initiatives, particularly in fast-paced environments, as this will resonate well with our expectations.
✨Tip Number 4
Stay updated on the latest advancements in data strategy and AI technologies. Being able to discuss recent developments or case studies during your conversations with us can showcase your passion and knowledge in the field.
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 with enterprise-level data environments, particularly in sectors like retail or banking. Emphasise your technical skills in SQL, MySQL, and AWS, as well as any leadership roles you've held.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your vision for data strategy and how your background aligns with the company's goals. Mention specific examples of how you've successfully implemented data architecture solutions in the past.
Showcase Your Leadership Skills: Highlight your experience in managing and mentoring teams. Provide examples of how you've fostered innovation and adaptability within your team, especially in fast-paced environments.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or technologies you've learned that are relevant to the role. This shows your commitment to staying ahead in the field of data architecture and cloud services.
How to prepare for a job interview at Boost Talent ltd
✨Showcase Your Data Strategy Vision
Be prepared to discuss your vision for a comprehensive data strategy. Highlight your experience in transitioning from traditional data warehouses to data lakes, and how you can leverage AI and GenAI to enhance decision-making capabilities.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of SQL, MySQL, Oracle, and cloud services, particularly AWS. Be ready to provide examples of how you've designed and implemented data architectures in previous roles.
✨Engage with Stakeholders
Prepare to discuss how you have successfully engaged with senior stakeholders in the past. Share specific examples of how you aligned technological advancements with business objectives, ensuring that you communicate clearly and directly.
✨Highlight Leadership and Mentoring Skills
Since this role involves managing and mentoring a team, be ready to talk about your leadership style. Provide examples of how you've developed teams in fast-paced environments and how you adapt to changes while driving innovation.
