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- 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 holiday allowance, 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 platforms.
- Other info: Collaborative culture with excellent career growth and well-being initiatives.
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.
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.
Data Architect in England employer: LexisNexis UK
Contact Detail:
LexisNexis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in England
✨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 or GitHub repository showcasing your projects, especially those involving Databricks and data architecture. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture and cloud technologies. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Architect in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Architect role. Highlight your experience with Databricks, Spark, and cloud platforms like Azure. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data architecture and how you can contribute to our innovative culture. Let us know why you're excited about this opportunity at LexisNexis.
Showcase Your Projects: Include examples of projects you've worked on that demonstrate your expertise in data pipelines and architecture. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
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 not just familiar but truly capable.
✨Understand the Business Context
Familiarise yourself with how data architecture supports business intelligence and analytics initiatives. Be prepared to discuss how you can transform raw data into valuable insights that drive decision-making. This shows you understand the bigger picture and can align your technical skills with business goals.
✨Prepare for Scenario Questions
Expect questions that ask you to solve real-world problems related to data pipelines, governance, or security. Think of examples from your past experiences where you successfully designed or implemented a solution. This will demonstrate your problem-solving skills and practical knowledge.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, be ready to talk about your experience collaborating with engineering, analytics, and business stakeholders. Highlight specific instances where your communication and teamwork led to successful project outcomes, as this is crucial for the role.