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Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

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Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

Role Summary

We are seeking an experienced Assistant Vice President (AVP) – Data Engineering & Financial Data Solutions to lead the design, development, and implementation of enterprise-scale data platforms supporting complex financial and regulatory reporting requirements.

The successful candidate will possess strong expertise in Data Warehouse [DWH] architecture, financial data modelling, data ingestion frameworks, ETL/ELT processing, reporting layer design, and production support. This role requires direct engagement with business stakeholders throughout the requirements gathering, development, deployment, and post-production support lifecycle.

The candidate must have hands-on experience in both on-premises and cloud-based data ecosystems and demonstrate strong technical proficiency in SQL and Python.

Key Responsibilities

Financial Data Modelling & Database Design

• Design and develop scalable, high-performance database solutions supporting complex financial and management reporting requirements.
• Architect logical and physical data models for enterprise data warehouses, data marts, and reporting platforms.
• Optimize database structures, partitioning strategies, indexing, and query performance for large-volume data environments.

Requirements Management & Stakeholder Engagement

• Engage business users, operations teams, and technology stakeholders during requirements gathering and solution design phases.
• Translate business requirements into functional and technical specifications.
• Provide advisory support to business teams on data availability, reporting requirements, and solution capabilities.
• Act as a key liaison between business users, delivery teams, and production support teams.

Data Platform Engineering

• Design and implement end-to-end data ingestion frameworks from multiple internal and external source systems.
• Develop scalable ETL/ELT solutions supporting structured, semi-structured, and unstructured data.
• Build and maintain processing layers and reporting-ready data models following industry best practices.
• Support Medallion Architecture implementations, including Bronze, Silver, and Gold data layers.

Reporting & Analytics Enablement

• Design reporting and semantic layers supporting BI and analytics platforms.
• Ensure data quality, reconciliation, auditing, and lineage requirements are incorporated into solution designs.
• Work closely with reporting and analytics teams to deliver reliable and scalable data solutions.

Production Support & Continuous Improvement

• Provide Level 3 support for production issues and performance optimization.
• Conduct root cause analysis and implement permanent fixes for recurring incidents.
• Drive continuous improvement initiatives across data engineering and reporting platforms.
• Establish monitoring, alerting, and operational controls for data pipelines and reporting solutions.

Cloud & Hybrid Data Architecture

• Design and support hybrid architectures spanning on-premises and cloud platforms.
• Implement secure, scalable, and resilient data solutions across enterprise environments.
• Collaborate with infrastructure, security, and governance teams to ensure compliance with organizational standards.

Required Skills & Experience

Mandatory

• Minimum 12+ years of experience in Data Engineering, Database Development, Data Warehousing, or Enterprise Data Solutions.
• Strong experience in designing and developing complex financial data models and reporting solutions.
• Extensive experience in enterprise database design and development.
• Advanced SQL development skills of Complex queries, Stored procedures, Performance tuning, Query optimization, and Data modelling
• Strong Python development experience of Data ingestion, Data transformation, Automation, and Data quality controls
• Hands-on experience designing and implementing of Data ingestion layers, Processing layers, Reporting layers, and Enterprise data pipelines
• Proven experience supporting business users during Requirements analysis, UAT, Production deployment, and Post-production support
• Mandatory experience working in both On-Premises data platforms and Cloud-based data platforms
• Able to lead the team of 10 people along with the individual contributor.

Preferred

• Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, Databricks,  OneLake, or equivalent cloud technologies.
• Experience with Banking, Treasury, Finance, Regulatory Reporting, or Risk Management data.
• Experience with CI/CD, DevOps, workflow orchestration, and data governance.
• Knowledge of data security, access control, and regulatory compliance frameworks.

Educational Qualifications

• Bachelor’s degree in computer science, Information Technology, Engineering, Data Analytics, or a related discipline.
• Relevant cloud, database, or data engineering certifications are advantageous.

Key Competencies

• Financial Data Domain Knowledge
• Database Design and Optimization
• Data Engineering Leadership
• Problem Solving and Root Cause Analysis
• Communication and Business Engagement
• Technical leader
• Delivery Management and Production Support

Mitsubishi UFJ Financial Group (MUFG) is an equal opportunity employer. We view our employees as our key assets as they are fundamental to our long-term growth and success. MUFG is committed to hiring based on merit and organsational fit, regardless of race, religion or gender.