At a Glance
- Tasks: Lead the design and governance of scalable data architectures using Snowflake.
- Company: Join a mission-driven tech company focused on closing the skills gap.
- Benefits: Enjoy 25 days holiday, flexible benefits, and comprehensive healthcare coverage.
- Other info: Be part of a supportive culture that values curiosity and collaboration.
- Why this job: Shape the future of data architecture and make a real impact in tech.
- Qualifications: Expertise in Snowflake and experience with data architecture and cloud systems.
The predicted salary is between 72000 - 88000 £ per year.
About us: We’re on a mission to close the world’s tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster. Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology. That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers. Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world.
About you: We are seeking an experienced Data Architect with deep expertise in Snowflake to define, design and govern our enterprise data architecture. The role will lead the development of scalable, secure, cost-effective and high-performing data solutions that enable business intelligence, advanced analytics, data science and AI-driven use cases. The successful candidate will translate business requirements into robust data architecture, establish architectural standards and best practices, and guide engineering teams in building modern cloud data platforms. They will play a key role in shaping our data strategy, improving data quality and accessibility, and maximising the value of our Snowflake investment.
What you’ll bring to the table:
- Data Architecture & Strategy: Define and evolve data strategy, architecture principles, standards and target-state roadmaps, balancing scalability, resilience, security, cost and delivery speed.
- Snowflake Platform Architect: Design and govern scalable, secure and cost-effective Snowflake architectures, covering data ingestion, transformation, modelling, performance optimisation, workload management, data sharing and integration to support enterprise analytics and AI use cases.
- Cloud-Native & Distributed Systems: Deep expertise in microservices, domain-driven design (DDD), bounded contexts, data ownership, event-driven integration, eventual consistency and distributed transactions.
- Event Streaming: Hands-on experience designing and operating Kafka, Kinesis or equivalent platforms, including partitioning, ordering, event contracts, schema evolution, idempotency, replay, delivery guarantees, fault tolerance, security and operational support.
- Data Modelling & Storage: Strong data modelling skills and the ability to select appropriate data stores—including relational, NoSQL, graph, time-series, distributed SQL and lakehouse technologies—based on business and technical requirements. Experienced in designing and developing semantic data models using tools such as dbt, ensuring consistent business definitions, reusable data structures, and reliable data for reporting and analytics.
- End-to-End Data Flows: Architect operational and analytical data pipelines across APIs, streaming, CDC, batch and ETL/ELT, embedding data quality, lineage, metadata, security, testing and observability throughout.
- Technical Leadership & Delivery: Work closely with engineering and product teams in fast-paced agile environments, making pragmatic trade-offs and establishing lightweight guardrails, automation and architecture decision records.
- Risk, Security & Resilience: Design secure, well-governed cloud data architectures that support sensitive data handling, operational resilience, traceable controls and regulatory obligations.
- AI-Assisted Engineering: Practical experimentation with AI-assisted architecture and engineering tools, understanding their benefits and limitations across research, modelling, coding, testing and documentation.
Desirable Experience: UK wealth management, financial services or fintech experience; candidates from other complex, regulated industries will also be considered. Experience working with DBT & Dagster. Legacy modernisation experience involving Oracle, Sybase, ISAM storage and SFTP/file-based integration, including migration, coexistence, reconciliation, CDC and progressive decoupling.
Why join AND Digital? We’re building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way. Our model is designed to build belonging and connection: we’re organised into regional ‘Clubs’ of no more than 80 people, so you (and our clients) get the benefits of that small company feel while also being connected to a larger whole. Our Practice Areas act as a ‘second home’ for our ANDis - a place where you can innovate and learn with like-minded experts who care deeply about their craft, support each other generously, and believe the best ideas come from collaboration, not hierarchy. Our culture is rooted in our values of Wonder, Share and Delight, and shows up through five traits that we celebrate and nurture in all our ANDis: we value curiosity, ambition and a growth-mindset. We are deeply client-centric. Most important of all we are human - we create an inclusive environment where people feel trusted, supported and able to be themselves.
By joining AND, we’ll provide:
- 25 days bookable holiday + flexible Bank Holidays
- Pension: 6% of salary paid by AND Digital with a further 2% paid by you (can be increased by choice).
- Aviva healthcare cover (including pre-existing condition cover) for you.
- Flexibenefit: 1000 assigned to you via our benefits portal to select or upgrade the benefits that suit you the most. Any unused allowance from the 1000 can be taken as cash.
- Life Assurance.
- Income Protection.
- Eye test + first pair of glasses.
- Parental Benefits: Generous Enhanced Maternity and Enhanced Partner (Paternity) Leave.
AI Statement: We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.
Equal Opportunities Statement: Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application. We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.
Data Architect (Snowflake) in Bristol employer: ANDigital
As a leading consultancy in Manchester, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and encourage continuous learning, ensuring that our team members are equipped to tackle complex challenges using cutting-edge technology. Join us to be part of a dynamic environment where your contributions are valued, and you can make a real impact on our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect (Snowflake) in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ANDigital!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect (Snowflake) at ANDigital.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ANDigital.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect (Snowflake) at ANDigital, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect (Snowflake) in Bristol
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ANDigital, 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 ANDigital. 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 ANDigital
✨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!
✨Showcase Your Projects
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 ANDigital!
✨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.
