Data Architect - Investment Firm, London A global Investment firm is embarking on a major enterprise-wide modernisation programme and were looking for a talented Data Architect to help shape the future of its data landscape.

Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. This high-priority initiative will see the organisation move from complex legacy systems to a modern, cloud-based environment , leveraging the power of Azure, Python, and Databricks . You will be central to designing the data architecture that underpins this transformation, ensuring data is scalable, secure, and built for both operational agility and strategic insight. What Youll Be Doing: Design and implement robust, scalable data architecture on the Microsoft Azure cloud platform. Lead the adoption of Databricks and cloud-native tools to modernise legacy systems. Define data standards, domains, and governance frameworks to support business-critical functions like trading, risk, operations, and regulatory reporting. Build both real-time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. Establish clear data quality metrics and processes to enforce data integrity and security. What Were Looking For: Strong background as a Data Architect , ideally within financial services or commodities trading . Proven experience with Azure , Databricks , and enterprise data lake solutions. Hands-on experience with data modelling , ETL/ELT pipelines , and data integration across multiple systems. Familiarity with tools like Kafka , Spark , and modern API-based architectures . Experience with relational databases such as Oracle and SQL Server . Knowledge of data governance platforms like Purview or Collibra is a plus. Excellent communication and stakeholder management skills able to bridge the gap between business goals and technical execution. Why Join? Be at the heart of a high-impact data transformation programme. Work with cutting-edge technologies including Databricks, Python, and Azure . Influence enterprise architecture in a global, forward-looking organisation. Join a supportive and inclusive team, offering hybrid working and strong career development.

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