Data Architect

LexisNexis UK

England

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Generous holiday allowance

Health screening and private medical benefits

Life assurance

Contributory pension scheme

Employee Assistance Programme

Job summary

A global data solutions company in the UK seeks a mid-level Data Architect to design and implement scalable data platforms. You will collaborate with engineering and analytics teams to transform data into valuable assets, focusing on cloud-native architectures using Databricks. The ideal candidate has expertise in data engineering and architecture, cloud infrastructure, and SQL, with a commitment to data quality and governance. This role offers competitive benefits and promotes a healthy work-life balance.

Qualifications

Hands-on experience in data architecture, data engineering, or a similar role.
Deep expertise in Databricks, including Spark (PySpark/Scala) and orchestration.
Strong understanding of cloud infrastructure and data services on major platforms.

Responsibilities

Collaborating with teams to transform raw data into valuable assets.
Designing and implementing cloud-native data architectures.
Leading technical efforts in data quality and governance.

Skills

Databricks

Data architecture

Data engineering

SQL

Cloud infrastructure

Education

Bachelor’s or master’s degree in computer science, Information Systems, Engineering

Tools

Databricks

Delta Lake

Spark

CI/CD pipelines

Job description

Overview

Data Architect role at LexisNexis UK. 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.

Seniority level