At a Glance
- Tasks: Lead the architectural direction of complex data transformation projects and foster innovation.
- Company: Join UST, a forward-thinking tech company shaping the future of data architecture.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact on data ecosystems and drive innovation in AI and machine learning.
- Qualifications: Experience in data architecture and cloud technologies, with strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
UST is recruiting for a Data Architecture Manager to help shape the architectural technical direction of large, complex data transformation projects.
Location: Nottingham or London
Hybrid: 3 days per week in the office
About The Role
UST is looking for a Data Architecture Manager who will be responsible for the data ecosystem, covering the holistic data lifecycle from the capture of high-quality customer data in real‑time, to the structuring, storage and processing of that data for insight, and ultimately its usage in event‑driven applications, machine learning and AI. The successful candidate will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem across Cloud‑scale distributed data processing, storage and curated data consumption. You will invest in architecture excellence across the data team and foster innovation to unlock value across our user community of engineers, data scientists, data analysts and data governance associates.
What You’ll Do
- Shape the architecture direction and evolution of the data ecosystem across Cloud‑scale distributed data processing, storage and curated data consumption.
- Influence senior stakeholders, internal customers and enterprise partners, gaining consensus on key technology decisions and architecture direction.
- Own and evolve architecture artefacts including reference architectures, Architecture Decision Records and technical standards for your domain.
- Partner with Product Management, Engineering, Cyber and the user community of engineers, data scientists, data analysts and data governance associates to solve their challenges through data technology and unlock business value.
- Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns.
- Enable simplification across architecture, processes and technologies by encouraging and fostering UK standardisation, reusing appropriate industry SaaS solutions and adopting Enterprise standards, patterns, capabilities and platforms where suitable.
- Nurture and grow architecture excellence and culture within the data team, leading technical design reviews and driving architecture best practice both within the team and the broader architecture organisation.
- Collaborate with peers in UK architecture and engage in the wider Enterprise architecture group.
What You’ll Bring
- Demonstrable experience as a hands‑on Senior Manager Architect in a large, complex data‑led organisation.
- Deep understanding and hands‑on leverage of modern, cloud‑scale data technologies, with expertise in distributed data processing architectures (Spark, PySpark, Python, Airflow), ELT processing underpinning Data Lakehouses and data products for scaled use within ML and AI.
- Expertise in streaming data, event‑driven design, data governance and the AWS cloud technology stack (Glue, Serverless, DynamoDB).
- A track record in leading the architecture vision, design and implementation of enterprise‑scale data applications, focusing on distributed data processing systems, Data Lakehouse, data products, streaming data and ML/AI platform capabilities.
- Working knowledge of ML and generative AI, including leveraging agentic AI based systems within the architecture and software development lifecycle.
- Excellent communication skills, navigating across tech, architecture, product and senior stakeholders to achieve alignment.
- Proficiency in software development principles, patterns and practices including CI/CD.
- Passion for growing architectural and data‑led thinking, with experience embedding and scaling this within a large enterprise setting.
- Ability to shape adoption of modern data technology and support evolution of a data‑driven culture across a scaled, cross‑functional organisation.
Skills
- Data architecture
- Data processing
- AWS Glue
- Cloud technology
Data Architecture Manager (Data Architect II) in Nottingham employer: UST
UST is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Data Architecture Manager to thrive. With a hybrid work model in vibrant locations like Nottingham and London, employees enjoy a balanced work-life environment while having access to cutting-edge data technologies and opportunities for professional growth. The company prioritises architecture excellence and encourages its team members to lead and influence key technology decisions, ensuring a rewarding and impactful career path.
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We think this is how you could land Data Architecture Manager (Data Architect II) in Nottingham
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We think you need these skills to ace Data Architecture Manager (Data Architect II) in Nottingham
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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Craft a Tailored Cover Letter:For a full-time role at UST, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UST. 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!
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✨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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✨Get Comfortable with Python and R
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✨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.
