At a Glance
- Tasks: Design and own the Databricks architecture for a leading financial services client.
- Company: Join a forward-thinking financial services firm focused on innovation.
- Benefits: Remote work, competitive pay, and potential contract extension.
- Other info: Opportunity to mentor and lead a talented team while engaging with senior stakeholders.
- Why this job: Shape the future of data architecture in a dynamic environment.
- Qualifications: Experience with Databricks, Delta Lake, and strong data security skills.
The predicted salary is between 72000 - 88000 £ per year.
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
Contract: 1 month (extension likely) | IR35: Outside | Location: Remote
The role
Our financial services client is building out its Databricks Lakehouse platform and needs a hands-on Data Architect to define the target architecture and set the standards the delivery team builds to.
Responsibilities
- Design and own the end-to-end Databricks architecture, from ingestion through to consumption
- Define batch and streaming patterns using Delta Lake, Delta Live Tables and Workflows
- Lead data modelling and lakehouse design
- Implement governance through Unity Catalog, including access control, lineage and audit
- Set standards for data quality, performance and cost
- Review engineering designs and mentor the team
- Translate business and regulatory requirements into technical solutions
Essential
- Proven Data Architect experience designing production Databricks platforms
- Strong Delta Lake, Spark (PySpark/SQL) and Unity Catalog skills
- Financial services background, ideally with regulatory data (BCBS 239, GDPR, FCA/PRA)
- Data security expertise, including RBAC, masking and PII handling
- CI/CD and infrastructure as code (Terraform, Azure DevOps or GitHub Actions)
- Confident engaging senior stakeholders
Desirable
- Databricks certifications
- Legacy warehouse migration to Databricks
- Azure Data Factory, Kafka or Event Hubs, dbt, Purview or Collibra
Data Architect in London employer: We Are Dcoded Limited
Join a dynamic and fast-growing international organisation that values innovation and collaboration. As an IT Business Partner, you'll benefit from a supportive work culture that prioritises employee development and offers numerous growth opportunities in the finance and banking sectors. With a focus on shaping data strategy, you'll be part of a team that drives meaningful change while enjoying a competitive benefits package and a vibrant workplace environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
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We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at We Are Dcoded Limited, 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 We Are Dcoded Limited, 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 We Are Dcoded Limited’s attention and show the tangible impact of your work.
How to prepare for a job interview at We Are Dcoded Limited
✨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 We Are Dcoded Limited.
✨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 We Are Dcoded Limited.
✨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 We Are Dcoded Limited.
