At a Glance
- Tasks: Lead the design of modern data platforms and drive large-scale data migration projects.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on mentorship and leadership development.
- Why this job: Join a team shaping the future of data architecture with cutting-edge technologies.
- Qualifications: 15+ years in data architecture with expertise in Azure, AWS, and GCP.
The predicted salary is between 76662 - 93698 £ per year.
Location: London/Leeds
Immediate start
Role Overview
We are seeking a seasoned Senior Data Architect to lead the design and delivery of modern, scalable data platforms across hyperscalers (Azure, AWS, GCP) and advanced technologies such as Snowflake and Databricks. This role requires deep hands-on expertise in large-scale data migration, along with experience in building and modernising both greenfield and brownfield data and analytics platforms.
Key Responsibilities
- Define and implement enterprise data architecture aligned with business and technology strategy
- Lead large-scale data migration and legacy modernisation initiatives
- Architect and deliver data engineering, analytics, and AI-driven solutions
- Design solutions leveraging hyperscalers (Azure, AWS, GCP) and modern platforms (Snowflake, Databricks)
- Drive solutioning and pre-sales activities including RFIs, RFPs, proposals, and client presentations
- Build and scale data practice capabilities and delivery frameworks
- Provide strategic guidance on cloud adoption, data strategy, governance, and advanced analytics
Required Skills & Experience
- 15+ years of experience in data architecture, engineering, and analytics
- Strong expertise in Azure, AWS, and GCP environments
- Proven experience with modern data platforms (Snowflake, Databricks)
- Experience delivering greenfield and brownfield data platform implementations
- Strong track record in pre-sales and solutioning (RFIs, RFPs, client engagement)
- Hands-on exposure to AI/ML within data ecosystems
- Experience building, leading, and mentoring data teams
- Excellent stakeholder management, communication, and leadership skills
Key Technologies
- Cloud: Azure, AWS, GCP
- Data Platforms: Snowflake, Databricks
- Data & Analytics: SQL, Python, Spark, AI/ML
Profile We’re Looking For
- Strategic thinker with strong delivery focus
- Client-facing with the ability to influence senior stakeholders
- Strong balance of hands-on expertise and architectural leadership
- Ability to operate across business and technology teams
Enterprise Architect I in Leeds employer: UST Global
As an employer, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Located in the vibrant cities of London and Leeds, we offer our employees exceptional growth opportunities through hands-on experience with cutting-edge technologies and a commitment to professional development. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations in the rapidly evolving field of data architecture.
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We think this is how you could land Enterprise Architect I in Leeds
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We think you need these skills to ace Enterprise Architect I in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UST Global. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UST Global
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UST Global!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
