VP, Senior Azure Data Platform Soluton Architect (JRI-6331) at SMBC Hong Kong Branch

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Services, Data Architecture, Databricks, ETL Processes, Data Security, Data Governance, System Integration, Analytical Skills, Communication Skills, Problem-Solving Skills, Cloud Environment, Technical Solution Architecture, Data Pipelines, Database Implementation, Compliance, Performance Monitoring

Industry

Financial Services

Description

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 Drive and responsible for the conceptualization of the technical solution architecture base on project’s requirements and IT strategies. Participate in vendor/product/technology evaluation and selection for the solution proposal. Work with enterprise architects, systems SMEs and product vendors to ensure the proposed technical solution complied with enterprise architecture principles, standards and guidelines while meeting the project objectives. Act as a bridge between the enterprise architects and the project’s technical delivery team. Design and implement data solutions: Develop and maintain Azure Data Architecture, ensuring compliance with data-related policies and standards Databricks integration: Design and implement data solutions using Databricks, including data pipelines, ETL processes, and data lakes. System integration: Analyze data-related system integration challenges and propose appropriate solutions. Collaboration: Work with data engineer and IT team members to assist with data-related technical issues and support their data infrastructure needs Data security: Implement data security and privacy protection measures. Strategy development: Develop and implement strategies for data acquisitions, archive recovery, and database implementation. Compliance: Work with data governance teams to ensure data solutions are compliant with regulations. Performance monitoring: Monitor system performance and troubleshoot issues. Continuous learning: Maintain updated knowledge of the Azure platform, Databricks, and best practices. Job Requirements Bachelor’s degree in computer science, computer engineering, data information systems or related discipline. At least 10 years of working experience in the IT/financial industry with minimum 7 years in solution architecture roles. Familiar with system and project implementation lifecycle in a banking environment is preferred. Proven experience in data architecture and management, preferably in a cloud environment. Technical expertise: 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. Databricks proficiency: Proven experience in designing and implementing solutions using Databricks, including Spark, Delta Lake, and MLflow. Analytical Skill: Strong analytical and problem-solving skills. Communication skill: Excellent communication and collaboration skills. Relevant certification in TOGAF and Database certifications or similar are highly desirable.

Responsibilities

Drive the conceptualization of technical solution architecture based on project requirements and IT strategies. Design and implement data solutions, ensuring compliance with data-related policies and standards.