MUFG
Assistant Vice President, Data Virtualisation Lead
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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.
With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
The Data Fabric Team
The Data Fabric team is part of the Data Engineering & Business Intelligence (DEBI) Department, which is part of the broader Architecture, Middleware, Data Engineering & Business Intelligence (AMD) pillar of Technology.
Data Fabric is responsible for designing and developing enterprise-grade solutions that support Data Virtualisation.
It’s services are highly sought after across the firm, often collaborating with other departments, management, and the executive.
Number of Direct Reports
Two
Main Purpose of the Role
The Lead Data Virtualisation Engineer in MUFG will lead the design, deployment, and adoption of the Starburst data analytics platform for the organization’s first implementation. This role requires deep technical experience in distributed SQL engines, data lakes, along with the ability to guide stakeholders through platform onboarding and production readiness.
- Creation of unified, real-time views of data from multiple sources - connecting to underlying systems to enable both agentic AI and users to access and integrate data as needed for analytics, reporting, and business intelligence.
- This implementation includes a significant research and development component, with close collaboration alongside the vendor to refine and evolve the product in line with emerging needs and capabilities.
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Key Responsibilities
- Lead end-to-end implementation of Starburst (Trino-based) platform from initial setup through production rollout
- Serve as the Starburst subject matter expert, providing guidance and technical leadership
- Design and implement scalable query architecture across data lakes, warehouses, and enterprise data sources
- Deploy and configure Starburst Enterprise, including Trino cluster setup and tuning
- Integrate multiple data sources i.e. Snowflake, databases, etc.
- Implement security, authentication, and authorization aligned with enterprise standards
- Optimize query performance, concurrency, and resource utilization
- Establish monitoring, alerting, and operational best practices
- Collaborate with cloud and platform teams to ensure high availability, scalability, and reliability
- Prepare relevant documentation
- Speed up adoption of AI
- Improve data governance
- Improve time-to-market of data products
Essential:
Work Experience
- 10+ years of experience in data engineering, analytics platforms, or distributed systems
- Hands-on experience with Starburst, Trino, or Presto
- Strong background in cloud engineering (AWS/Azure/GCP) and Kubernetes
- Proficiency in SQL, data lakes, object storage, and distributed query optimisation
- Good understanding of data security, governance, and access controls
Preferred:
- Prior experience leading first-time platform implementations
- Experience migrating to Starburst
- Familiarity with BI, data engineering, enterprise analytics use cases (Power BI, dbt, Python, Spark)
- Strong communication and stakeholder management skills
Skills and Experience
Functional / Technical Competencies:
Essential:
- Technical leadership and ownership
- Architecture and problem-solving mindset
- Ability to work independently in ambiguous environments
- Strong documentation and knowledge-sharing skills
- Strong understanding of AI fundamentals, Large Language Models (LLMs), and agentic AI architectures, with the ability to leverage modern data platforms, governance, and data products to enable successful AI outcomes.
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Education / Qualifications:
- Bachelor’s degree in computer science, Engineering, or related field, or equivalent experience
- Cloud certifications (Azure/AWS/GCP).
Personal Requirements
- Excellent communication skills
- Results driven, with a strong sense of accountability
- A proactive, motivated approach.
- The ability to operate with urgency and prioritise work accordingly
- Strong decision-making skills, the ability to demonstrate sound judgement
- A structured and logical approach to work
- Strong problem-solving skills
- A creative and innovative approach to work
- Excellent interpersonal skills
- The ability to manage large workloads and tight deadlines
- Excellent attention to detail and accuracy
- A calm approach, with the ability to perform well in a pressurised environment
- Strong numerical skills
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
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