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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 working with remote 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.
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 large-scale data environments. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in data strategy.
✨Tip Number 2
Showcase your leadership skills by engaging in discussions on platforms like LinkedIn or relevant forums. Share insights on data architecture and cloud migration strategies, which can help you establish credibility and attract attention from hiring managers.
✨Tip Number 3
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 to continuous learning and adaptability.
✨Tip Number 4
Prepare for interviews by developing a clear narrative around your past experiences in enterprise-level data environments. Be ready to discuss how you've successfully led teams and implemented data strategies that align with business objectives, showcasing your strategic and hands-on approach.
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 strategic vision aligns with the company's goals and mention your hands-on experience with data architecture and cloud migration.
Showcase Leadership Skills: Emphasise your leadership experience in your application. Provide examples of how you've managed and mentored teams in fast-paced environments, and how you've engaged with senior stakeholders to drive technological advancements.
Highlight Continuous Learning: Mention any recent courses, certifications, or projects that showcase your commitment to staying ahead of industry trends and learning new technologies. This will demonstrate your adaptability and eagerness to grow in the field.
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 previous experiences where you successfully optimised high-scale transactional data for business performance.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of SQL, MySQL, Oracle, and data architectures. Be ready to explain how you've designed data warehouses and lakes, and how you would leverage AWS technologies in this role.
✨Engage with Stakeholders
Prepare examples of how you've worked closely with senior stakeholders in the past. Emphasise your ability to align technological advancements with business objectives and your experience in honest and direct communication.
✨Highlight Leadership Skills
Discuss your experience in managing and mentoring teams, especially in fast-paced environments. Share specific instances where you drove innovation and strategic execution while remaining hands-on.
