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Data Integration Lead; Snowflake, Databricks), Vice President

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Mufgamericas
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Position: Data Integration Lead (Snowflake, Databricks), Vice President

Data Integration Lead (Snowflake, Databricks), Vice President page is loaded

Data Integration Lead (Snowflake, Databricks), Vice President Apply locations Jersey City, NJ Tampa, FL time type Full time posted on Posted 2 Days Ago job requisition  
-WD

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

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. 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:

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 data models and visualizations to support multiple use cases across various products or domains.
  • Conceive, design, and implement Cloud Data Lakes, Data Warehouses, Data Marts, and Data APIs.
  • Complete the full lifecycle of ETL/ELT development, including design, mappings, data transformations, scheduling, and testing.
  • Apply knowledge of data engineering concepts, including data APIs, data availability, data quality, data management, metadata management, reference data management, data governance, data catalog, data virtualization, and data optimization.
  • Utilize data tools and platforms such as Starburst, Snowflake, Databricks, and programming languages like SQL, Python, and Shell Scripting.
  • Manage batch job operations using Autosys, perform data modeling (physical and logical), and utilize data catalog tools (e.g., Collibra).
  • Implement data governance, quality standards, and best practices to ensure data accuracy and security.
  • Troubleshoot and optimize data processing workflows, reduce latency and enhance the scalability of data systems.
  • Collaborate on Data Strategy and Solutions
  • Ensure compliance with data privacy and security regulations, employing best practices for data handling and storage.
  • Build and maintain data dictionaries and process documentation.

Qualifications:

  • 8+ years of hands-on experience in data science with a focus on developing and implementing data-driven solutions in the Banking & Financial Services sector.
  • 5+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
  • 3+ years of experience in Implementation of cloud platforms like Snowflake, Databricks, S3, Redshift.
  • 3+ years of…
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