## .We are looking for a **Data Architect** with **proven experience designing and implementing data platforms using Databricks**. In this mid-level role, you will play a critical part in architecting scalable data solutions that drive analytics, data science, and business intelligence efforts. You will work cross-functionally with engineering, analytics, and infrastructure teams to transform raw data into valuable enterprise assets. * 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.* Bachelor’s or master’s degree in computer science, **Information Systems**, **Engineering**, or a related field.* 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).* Hands-on experience with **CI/CD pipelines**, version control (Git), and DevOps practices.* Solid understanding of **data governance**, **privacy**, and **security** best practices.Hands-on experience in **data architecture**, **data engineering**, or a similar role.Proficiency in **data modelling**, **SQL**, **data warehousing**, and **ETL frameworks**.* **Databricks certifications** (e.g., Data Engineer Associate/Professional).* Experience working in **regulated industries** (e.g., financial services, healthcare).* Exposure to **BI tools** (e.g., Power BI, Tableau) and **data virtualisation** platforms.Familiarity with **Unity Catalogue**, **MLflow**, and **Lakehouse architecture** principles.* Generous holiday allowance with the option to buy additional days.* Health screening, eye care vouchers and private medical benefits* Wellbeing programs* Life assurance* Access to a competitive contributory pension scheme* Save As You Earn share option scheme.* Travel Season ticket loan.* Electric Vehicle Scheme* Optional Dental Insurance* 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
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