Data Integration Lead; Snowflake, Databricks), Vice President

Position: Data Integration Lead (Snowflake, Databricks), Vice President
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 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.

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA).

The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law.
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* Job Summary:

** The Enterprise Data Pipeline team in Technology is focused on a transformative journey that will support our data strategy on how we develop and deliver critical business outcomes. Our team is seeking an experienced and dynamic individual to join as
** Vice President,*
* ** Data Integration Lead,
** to support projects and BAU work efforts. The successful candidate must be able to deliver while adopting an agile methodology and managing project timelines and risks.

The role involves significant interaction with colleagues outside of the immediate Data services team, including all lines of business (Global Corporate & Investment Banking, Finance, Risk, Compliance, Chief Data Office, Information Technology), Product Owners, and Data owners. Role involves global stakeholder base with interaction across time zones.
** Responsibilities:
*** Develop and maintain strong, trust-based relationships with key stakeholders to understand their business challenges and identify data-driven solutions.
* Develop and maintain data infrastructure, pipelines, and solutions, leveraging data engineering expertise.
* Design and deploy automated solutions for building, testing, monitoring, and deploying ETL data pipelines in a continuous integration environment.
* Design, build, and launch advanced…