Data Architect

.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