At a Glance
- Tasks: Lead the design of a modern data platform using Snowflake and establish data governance standards.
- Company: Dynamic financial services firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a fast-paced environment with excellent career advancement opportunities.
- Why this job: Shape the future of data architecture and make a significant impact in financial services.
- Qualifications: Hands-on experience with Snowflake and strong data governance expertise required.
The predicted salary is between 72000 - 88000 £ per year.
- Senior Data Architect | Snowflake & Data Governance
- Type: 12-month Fixed-Term Employment (FTE)
- Start: ASAP
We are looking for an experienced Senior Data Architect to lead the design and evolution of a modern enterprise data platform, with Snowflake and Data Governance at its core.
This is a senior, hands‑on architecture role where you will shape data strategy, design scalable cloud data solutions, and establish robust governance standards covering data quality, lineage, security, metadata and accessibility.
Experience within Asset Management or Financial Services would be highly advantageous, particularly across portfolio, market, investment or regulatory data.
The Role
- Architect the
- Data
Platform: Design scalable and high‑performing enterprise data solutions using Snowflake, applying Data Vault 2.0, dimensional and other appropriate modelling approaches.
- Lead Data Governance: Establish frameworks for data quality, lineage, cataloguing, metadata management and Master Data Management (MDM).
- Design for
Security: Implement Snowflake security capabilities including RBAC, row‑level security and dynamic data masking, supporting financial‑services and data‑privacy requirements.
- Optimise Data Integration: Partner with Data Engineers to design and optimise ETL/ELT pipelines across complex enterprise and financial data sources.
- Drive Snowflake Excellence: Apply Snowflake capabilities including Snowpipe, Streams and Tasks, with a strong focus on performance and cost optimisation.
- Shape Data Strategy: Define architecture standards, principles and roadmaps, translating business requirements into scalable technical solutions.
- Influence Senior Stakeholders: Act as the link between engineering teams, data owners and senior business stakeholders.
- What We’re Looking For
- Deep hands‑on experience designing and architecting Snowflake solutions.
- Strong expertise in enterprise Data Governance and data‑quality frameworks.
- Advanced SQL and strong cloud‑platform knowledge, ideally Microsoft Azure, AWS or GCP.
- Expert knowledge of conceptual, logical and physical data modelling.
- Experience with Data Vault 2.0 and/or dimensional modelling.
- Understanding of MDM, data lineage, metadata and data cataloguing.
- Experience with governance/catalogue platforms such as Alation, Collibra or Atlan.
- Strong knowledge of RBAC and enterprise data security.
- Ability to communicate complex architecture decisions to both engineers and senior business stakeholders.
- Highly Desirable
- Experience within Asset Management, Investment Management, Banking or Financial Services.
- Knowledge of portfolio accounting, market data, ESG, investment or regulatory reporting data.
- Snowflake or data‑management certifications, such as Snow
Pro Advanced: Architect or CDMP.
Core Skills
Snowflake | Data Architecture | Data Governance | Data Vault 2.0 | Data Modelling | MDM | SQL | RBAC | ETL/ELT | Alation | Atlan | Collibra | Microsoft Azure | Cloud Data Warehousing | Data Quality & Lineage
Skills
Data Governance, Data Vault, Master Data Management, RBAC, ETL, Data Modeling, Alation, Atlan, Cloud Data Warehousing, Data Validation, Microsoft Azure
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Senior Data Architect | Snowflake & Data Governance_London 12 month FTE (Data Architect II) employer: UST
As a Salesforce Delivery Lead in London, you will join a dynamic and innovative team within the Financial Services sector, where your expertise will drive impactful technology initiatives. Our hybrid work culture promotes flexibility while fostering collaboration, and we are committed to your professional growth through continuous learning opportunities and mentorship. With a focus on Agile practices and high-performance teams, we offer a rewarding environment that values your contributions and encourages meaningful engagement with stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect | Snowflake & Data Governance_London 12 month FTE (Data Architect II)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like UST before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like UST.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like UST.
We think you need these skills to ace Senior Data Architect | Snowflake & Data Governance_London 12 month FTE (Data Architect II)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at UST, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to UST, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab UST’s attention and show the tangible impact of your work.
How to prepare for a job interview at UST
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at UST.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at UST.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at UST.
