VP, Senior Azure Data Platform Solution Architect (JRI-4695)
Singapore
The Japan Research Institute (JRI) Limited is a subsidiary of Sumitomo Mitsui Banking Corporation (SMBC) Group. SMBC Group is a Tokyo-based bank holding company that is ranked among the largest 25 banks globally by assets under management. JRI provides comprehensive, highly value-added information services through the coordinated application of its 3 functions i.e. information systems, consulting and think-tank. As a system integrator, JRI offers services in IT strategy planning, implementation and outsourcing to a broad range of industries and activities. JRI Singapore currently supports the overall IT functions of Sumitomo Mitsui Banking Corporation (SMBC) in the Asia Pacific region.
Job Responsibilities
- Develop and maintain Azure Data Architecture, ensuring compliance with data-related policies and standards.
- Design and implement data solutions using Databricks, including data pipelines, ETL processes, and data lakes.
- Analyse data-related system integration challenges and propose appropriate solutions.
- Work with data engineer and IT team members to assist with data-related technical issues and support their data infrastructure needs.
- Implement data security and privacy protection measures.
- Develop and implement strategies for data acquisitions, archive recovery, and database implementation.
- Work with data governance teams to ensure data solutions are compliant with regulations.
- Monitor system performance and troubleshoot issues.
- Maintain updated knowledge of the Azure platform, Databricks, and best practices.
Job Requirements
- Bachelor’s degree in computer science, computer engineering, information systems or related discipline.
- Extensive experience with Azure services like Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB, and Databricks.
- Proven experience in designing and implementing solutions using Databricks, including Spark, Delta Lake, and MLflow.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Proven experience in data architecture and management, preferably in a cloud environment