• Evaluate and interpret existing data structures to ensure optimal performance and alignment with industry standards in the banking and financial services domain. • Understanding of Data architecture, data lineage and mapping to identify data gaps • Build controls based on the gaps identified • Design and implement robust data models that support the integration and functionality of various applications and analytics platforms. • Develop and maintain scalable and efficient data pipelines using ETL processes tailored for AWS and Databricks environments. • Collaborate with cross-functional teams to gather requirements and deliver high-quality data architecture solutions that meet the strategic needs of the business. • Implement and manage SQL modeling techniques to enhance data retrieval and analysis. • Leverage knowledge of visualization tools to aid in data interpretation and decision-making processes. • Ensure adherence to best practices in database management and data integration.