We’re looking for a highly skilled Data Architect to shape the design and strategy of our data architecture for enterprise reporting and analytics. As a pivotal member of our Enterprise Architecture team, you’ll ensure our data infrastructure is scalable, reliable, and aligned with our evolving business needs. You’ll report to the IT Architect and be responsible for:

• Designing and refining our end-to-end data architecture, including data lakes, warehouses, pipelines, and governance frameworks.
• Defining and implementing data modeling standards, ensuring schemas, data lineage, and metadata enhance clarity and discovery.
• Driving architectural decisions on data platforms (cloud, hybrid, or on-prem), tooling, and integration to meet performance, scalability, and cost goals.
• Collaborating with cross-functional teams—business analysts, BI developers, data engineers, and IT—to translate business requirements into robust, efficient data solutions.
• Establishing best practices and standards for data quality, security, and governance, ensuring compliance with regulatory and internal policies.
• Monitoring system performance, optimizing data flows, and ensuring architectural integrity across all analytics environments.
• Leading data architecture reviews, code quality assessments, and fostering a culture of continual improvement and innovation.

To thrive in this role, you bring:

• 5+ years’ experience as a Data Architect or similar role, with demonstrable expertise in designing enterprise-grade data platforms.
• Proficiency in modern data engineering and analytics technologies—for example, cloud platforms (e.g., Azure Synapse, AWS Redshift, GCP BigQuery), ETL frameworks, data modeling tools, and data governance platforms.
• Hands-on experience with both relational and dimensional modeling techniques, modern data lakehouse design, and scalable pipeline architecture.
• Exposure to conceptual and logical data modelling practices for enterprise-wide data architecture.
• A solid understanding of data governance, master data management, and metadata management best practices.
• Proven collaborator—able to communicate complex architecture concepts clearly to both technical and non-technical stakeholders.
• Strong problem-solving skills, autonomy, and the ability to manage multiple priorities in a fast-paced environment.
• Familiarity with Agile development practices and dataOps methodologies is a plus.
• Ideally, background or interest in trading, financial services, or commodities sectors.

If you meet these criteria and are ready to contribute your expertise to a dynamic and challenging environment, we encourage you to apply.