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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.
