Data Architect

• Develop and maintain the organization’s overall data architecture, including data models, integration patterns, and workflows. 
• Define strategies for data storage, access, and processing, ensuring alignment with business objectives. 
• Create conceptual, logical, and physical data models to meet the organization’s data needs. 
• Ensure seamless integration of data from diverse sources, including databases, APIs, and real-time streaming systems. 
• Work with API and middleware teams to enable real-time and batch data sharing using standards-compliant protocols (e.g., REST, GraphQL). 
• Design systems to handle growing data volumes and high-performance requirements. 
• Optimize database performance, query execution, and data retrieval processes. 
• Implement data standards, policies, and best practices for data management and governance. 
• Collaborate with Information security teams to ensure data privacy, compliance, encryption, access controls, and data masking for shared datasets. 
• Implement robust data security frameworks to protect sensitive trade and compliance data during sharing and storage. 
• Ensure compliance with data privacy regulations. 
• Assess and recommend data management tools, technologies, and platforms (e.g., data warehouses, data lakes, cloud storage, analytics platforms). 
• Work closely with Data Engineers, Analysts, and Business Leaders to understand data requirements and translate them into architectural solutions. 
• Support teams in designing and implementing analytics and AI/ML solutions. 
• Document the data architecture, models, and processes to ensure clarity and accessibility for stakeholders. 
• Provide guidance and training to team members on data-related tools, technologies, and best practices. 

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. 
• 9+ years experience as a Data Architect, with a strong track record in data modeling, architecture design, and data integration. 
• Hands-on experience with databases (SQL/NoSQL), Data Warehouses, Data Lakes, and ETL/ELT tools. 
• Proficiency in database technologies (e.g., Oracle, MS SQL Server, PostgreSQL, MySQL, MongoDB). 
• Experience with big data tools (e.g., Hadoop, Spark, Kafka)  

Benefits

• Competitive salary
• Fuel Card
• Health benefits
• Professional development opportunities
• Inclusive work culture & much more