Data Support Engineer

The Data Support Engineer ensures the reliability, performance, and integrity of compliance and analytics data platforms within a cloud-based ecosystem. This role anchors operational excellence by supporting trade and market surveillance, compliance metrics, and analytics dashboards. It impacts business-critical reporting and regulatory adherence, influencing risk management and decision-making across the organization. The position reports to the Compliance Technology Manager and collaborates with cross-functional teams under Agile/Scrum frameworks using Jira and Confluence., * Monitor, troubleshoot, and resolve issues in compliance and analytics data pipelines to meet SLAs.

• Perform root cause analysis for data quality and integrity issues and implement corrective actions.
• Provide operational support for analytics dashboards and reporting tools, ensuring data consistency across compliance and analytics layers.
• Takes initiative to proactively anticipate challenges and drive solutions before issues arise.
• Manage run-time integration and orchestration between Azure Databricks and Azure Data Factory, including configuration of linked services, triggers, and pipelines.
• Support data solutions leveraging Medallion architecture to ensure structured, scalable, and secure data layers. Maintain and optimize workflows in Databricks, Azure Data Factory (ADF), and Azure SQL Database for performance, scalability, and cost efficiency.
• Support deployment and configuration of data solutions in production environments.
• Document operational procedures and troubleshooting steps in Confluence; track tasks and issues in Jira.
• Ensure adherence to data governance, security, and regulatory standards; assist in compliance audits and reporting processes.
• Demonstrates flexibility to perform diverse functions within the team to address organizational needs

• Experience: Minimum 3 years in data operations, support engineering, or analytics platform administration.
• Technical Skills: Proficiency in Medallion architecture, Azure Databricks, Azure Data Factory, Azure SQL Database, and orchestration between Databricks and ADF.
• Data Analysis: Ability to query and analyze large datasets for troubleshooting and validation.
• Tools: Hands-on experience with Jira and Confluence; familiarity with Agile/Scrum methodologies.
• Preferred: Python or PySpark for automation; knowledge of compliance or financial services workflows; exposure to visualization tools (Power BI, Tableau).
• Skills: Strong problem-solving, communication, and collaboration abilities.

{"description": "SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges. In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.