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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 opportunities for remote work and professional development.
- 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; expertise in SQL, AWS, and team leadership required.
- Other info: Opportunity to mentor a growing team and drive impactful change in a dynamic setting.
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 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 managing teams during interviews. Think of examples where you successfully mentored team members or led projects that required strategic thinking and hands-on execution.
✨Tip Number 4
Research StudySmarter's current data initiatives and projects. Understanding our goals and challenges will help you tailor your discussions and show how your vision aligns with our mission, making you a more attractive candidate.
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, Oracle, and AWS cloud services.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the role's key responsibilities, such as data architecture expertise and strategic leadership. Share specific examples of how you've successfully implemented data strategies in previous roles.
Showcase Leadership Experience: Highlight your experience in managing and mentoring teams. Provide examples of how you've led projects in fast-paced environments and adapted to changing technologies, showcasing your ability to drive innovation.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or workshops related to data architecture, cloud services, or AI technologies. This shows your commitment to staying ahead of industry trends and your passion for learning.
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've successfully transformed data architecture, especially in large-scale environments.
✨Demonstrate Technical Expertise
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, SQL, and Databricks. Be ready to provide examples of how you've used these tools to optimise data processes in previous roles.
✨Engage with Stakeholders
Prepare to discuss how you would engage with senior stakeholders, including Chief Data Officers. Think of examples where you've aligned technological advancements with business objectives and how you communicated effectively with various teams.
✨Emphasise Leadership and Mentoring Skills
Since this role involves managing and mentoring a team, be ready to share your leadership philosophy. Discuss how you've developed teams in the past and your approach to fostering a collaborative and innovative environment.
