Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data platforms for analytics and business intelligence.
- Company: Join LexisNexis UK, a leader in innovative data solutions.
- Benefits: Enjoy generous holidays, health benefits, and flexible working hours.
- Why this job: Make a real impact by transforming raw data into valuable insights.
- Qualifications: Experience in data architecture and proficiency in Databricks and cloud services.
- Other info: Be part of a culture that values innovation, collaboration, and personal growth.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a data professional who can design and implement scalable data platforms to support analytics, data science, and business intelligence initiatives. In this mid-level position, you will collaborate with engineering, analytics, and infrastructure teams to transform raw data into valuable enterprise assets and help advance our data-driven decision processes.
Key Responsibilities
- Designing and implementing cloud-native data architectures using Databricks and technologies such as Delta Lake, Spark, and MLflow.
- Developing and maintaining robust data pipelines, including batch and streaming workloads, to support data ingestion, processing, and consumption.
- Collaborating with business stakeholders and analytics teams to define data requirements, data models, and data integration strategies.
- Ensuring data architecture solutions are secure, scalable, and high performing, adhering to enterprise standards and best practices.
- Leading technical efforts in data quality, metadata management, data cataloguing, and governance (including Unity Catalogue if applicable).
- Providing technical guidance to junior engineers and analysts in the adoption of modern data architecture patterns.
- Evaluating and recommending emerging tools and frameworks within the Databricks ecosystem and broader data engineering space.
- Having a solid understanding of analytics engines and columnar databases to support performance-optimised data solutions.
- Experience with full-text search platforms is highly desirable; familiarity with technologies like Elasticsearch or Solr is a strong advantage.
Requirements
- Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.
- Hands-on experience in data architecture, data engineering, or a similar role.
- Deep expertise in Databricks, including Spark (PySpark/Scala), Delta Lake, and orchestration within Databricks workflows.
- Strong understanding of cloud infrastructure and data services on at least one major cloud platform (Azure preferred, but AWS or GCP also accepted).
- Proficiency in data modelling, SQL, data warehousing, and ETL frameworks.
- Hands-on experience with CI/CD pipelines, version control (Git), and DevOps practices.
- Solid understanding of data governance, privacy, and security best practices.
Nice to Have
- Databricks certifications (e.g., Data Engineer Associate/Professional).
- Familiarity with Unity Catalogue, MLflow, and Lakehouse architecture principles.
- Experience working in regulated industries (e.g., financial services, healthcare).
- Exposure to BI tools (e.g., Power BI, Tableau) and data virtualisation platforms.
Why Join Us
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Save As You Earn share option scheme.
- Travel Season ticket loan.
- Electric Vehicle Scheme.
- Maternity, paternity, and shared parental leave.
- Employee Assistance Programme.
- Access to emergency care for both the elderly and children.
- RECARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Access to extensive learning and development resources.
- Access to the employee discounts scheme via Perks at Work.
About The Business
At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results.
Data Architect in London employer: LexisNexis UK
Contact Detail:
LexisNexis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture. Think about how you’d explain your experience with Databricks, Delta Lake, and cloud services in a way that’s easy to understand.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Databricks, Delta Lake, and any relevant cloud platforms. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Be sure to mention any specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills in your application. Mention your hands-on experience with data pipelines, SQL, and any tools like MLflow or Elasticsearch. We love seeing candidates who are technically savvy!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at LexisNexis UK
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Delta Lake, and Spark. Brush up on your PySpark or Scala skills, as these will likely come up during technical discussions. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Understand Data Architecture Principles
Familiarise yourself with cloud-native data architectures and how they support analytics and data science initiatives. Be prepared to discuss how you’ve designed and implemented scalable data platforms in the past, and how you ensure they are secure and high-performing.
✨Collaborate Like a Pro
Since this role involves working closely with engineering and analytics teams, think of examples where you’ve successfully collaborated on projects. Highlight your ability to define data requirements and integration strategies, as well as how you’ve led technical efforts in data quality and governance.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you’ve faced in data architecture and how you overcame them. Whether it’s optimising data pipelines or ensuring compliance with data governance standards, demonstrating your problem-solving abilities will set you apart from other candidates.
