At a Glance
- Tasks: Design and deliver cutting-edge data solutions on the Databricks Lakehouse Platform.
- Company: Join Unifeye, a dynamic consultancy at the forefront of data and AI.
- Benefits: Enjoy competitive salary, bonuses, flexible working, and continuous learning opportunities.
- Other info: High autonomy and growth potential in a fast-paced environment.
- Why this job: Make a real impact while collaborating with top Databricks specialists.
- Qualifications: 5+ years in data platforms, strong Databricks experience, and excellent communication skills.
The predicted salary is between 72000 - 88000 £ per year.
About Unifeye
Unifeye is a delivery-led, Databricks-first consultancy helping organisations unlock the full value of their data and AI.
We're a lean, high-growth team based in London, working at the intersection of data, technology and business strategy.
We partner with enterprise organisations across industries to solve complex data challenges through modern Lakehouse architectures on Databricks.
Joining Unifeye means more than delivering projects.
From day one, you'll be trusted to take ownership, challenge conventional thinking and make a genuine impact.
With a high degree of autonomy, you'll help shape client outcomes, influence our technical direction and play a key role in the growth of the business.
The Role
We're looking for an experienced Data Architects to join our Architecture team and lead the design and delivery of modern data and AI solutions on the Databricks Lakehouse Platform.
You'll work across multiple enterprise engagements, partnering with customers to solve complex business challenges while collaborating with architects, engineers and AI specialists.
You'll provide technical leadership from discovery through to production, helping customers build scalable, secure and governed data platforms.
Alongside client delivery, you'll mentor colleagues, share knowledge and contribute to the continued growth of Unifeye.
What You'll Do
- Design and deliver enterprise data and AI solutions on the Databricks Lakehouse Platform.
- Lead architecture for Lakehouse implementations using technologies such as Unity Catalog, Delta Live Tables, MLflow and Lakeflow.
- Define architecture strategies, migration approaches and technical roadmaps with customers.
- Translate business requirements into scalable, secure and production-ready solutions.
- Lead technical workshops, architecture reviews and discovery sessions.
- Support Proof of Concepts and pre-sales engagements.
- Establish best practices for governance, security, CI/CD, Data Ops and MLOps.
- Collaborate closely with Databricks and internal delivery teams.
- Mentor engineers and help grow the consultancy's technical capability.
What We're Looking For
Essential
- 5+ years' experience delivering enterprise data platforms or analytics solutions.
- Strong commercial experience delivering Databricks solutions.
- Consulting or customer-facing delivery experience.
- Strong understanding of Apache Spark, modern Lakehouse architecture and Unity Catalog.
- Experience with Azure, AWS or GCP.
- Experience implementing CI/CD and deployment automation.
- Excellent communication and stakeholder management skills.
Desirable
- Databricks certification.
- Experience delivering AI or Generative AI solutions.
- Experience with MLflow, Terraform or Databricks Asset Bundles.
- Previous mentoring or technical leadership experience.
Why Join Unifeye?
We're building a consultancy where talented people can do their best work.
At Unifeye, you'll have the opportunity to solve meaningful problems, work with leading enterprise organisations and collaborate with some of the UK's most experienced Databricks specialists.
As a high-growth business, you'll have the autonomy to make decisions, influence how we work and see the direct impact of your contributions.
We offer
- The opportunity to work exclusively with Databricks technologies.
- High levels of ownership and autonomy from day one.
- The chance to make a real impact on clients and the growth of the business.
- Close collaboration with Databricks teams.
- Continuous learning, certification and career development.
- Competitive salary, bonuses, generous benefits and flexible hybrid working.
If you're passionate about building modern data platforms, enjoy solving complex technical challenges and want to help shape a fast-growing consultancy, we'd love to hear from you.
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Data Architect in London employer: Unifeye
Unifeye is an exceptional employer that empowers its team members to take ownership and make a significant impact from day one. With a focus on continuous learning and career development, employees enjoy high levels of autonomy while collaborating with leading enterprise organisations and Databricks specialists in a dynamic London environment. The company's commitment to innovation, competitive benefits, and a supportive work culture makes it an ideal place for talented individuals looking to thrive in the data and AI consultancy space.
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We think this is how you could land Data Architect in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Architect in London
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 Unifeye, 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 Unifeye. 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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✨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.
