Data Platform Product Engineer, Director

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 7th largest financial group in the world. Across the globe, we’re 120,000 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 selected colleague will work at an MUFG office or client sites four days per week and work remotely one day. A member of our recruitment team will provide more details.

JOB SUMMARY:

A leader who can work in a matrix organization and lead a team to modernize Data Platform Product Engineering, with the remit of data store (databases & big data) & data integration, business intelligence tools product engineering. Strong collaboration, communication, and execution on data platform product management framework that will focus data platform provisioning, migration to a modernized data platforms in the cloud. In the process, you will have exciting opportunities to grow as a thought leader and see your contributions have a tremendous impact on the business.

EXPERIENCE:

• Extensive infrastructure and data platform product engineering experience with direct management of complex budgets and direct management of cross-functional teams and influence architecture, cloud engineering, security, and application development teams.
• Continuous Integration and Continuous Delivery (CI/CD) of data platforms for self-service
• Infrastructure as Code (IaC) such as Cloud Formation or Terraform
• Developed and managed Product Capabilities that involved both cloud native and agnostic data platforms.
• Extensive experience in technical engineering, architecture, and/or development roles
• Proven track record of leading a flat engineering team modernizing data platforms in hybrid cloud.
• Strong experience in consulting, financial services industry, or government regulatory agency
• Supervisory experience and demonstrated leadership capabilities required.
• Highly skilled expertise in designing and running a wide range of open-source tools and distribution engines.
• Deep understanding of infrastructure automation, instrumentation, and full stack technologies
• Proven experience building and managing teams of 30-100 members.
• Extensive knowledge of DevOps techniques and strategies for both application and infrastructure builds and releases.
• Expertise in cloud engineering and operations, Disaster recovery and business continuity planning
• In-depth knowledge of AWS, and understanding of Azure Data Stacks
• Collaboration with Global Teams
• Experience is driving optimization through total cost of ownership (TCO) for the data platform products from contract negotiations, collaboration with internal corporate partners (sourcing, finance, cybersecurity, risk...), migration to modernized data platform products.
• Expertise in creating data platform literacy through publications, office hours, confluent/SharePoint content creation, roadshows within the organization to drive adoption, maturity, and self-service capabilities.

FUNCTIONAL SKILLS

• Thought-leader level knowledge in leading large-scale initiatives emphasizing the data and data platform strategy, design, and development of Platform-as-a-Service (PaaS), Infrastructure-as-a-Service (IaaS), Software-as-a-Service (SaaS) cloud platforms that extend to private and public cloud deployment models with resiliency, risk and control governance and metrics, incident management, secure systems development lifecycle, vulnerability management, and data protection.
• Expert experience with cloud management data platforms, data fabric / virtualization strategies, automation and orchestration strategies, public cloud data platforms, cloud capacity/performance optimization, and application migrations to a cloud agnostic and native data platform with a clear understanding of how an IT organization capitalizes upon data technologies to enable the business.
• Experience leading transformational projects related to data platform to enable the technical capabilities required for a successful data strategy encompassing , platform design, engineering, operations, security, and digital adoption.
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