Data Integration Lead (Snowflake, Databricks), Vice President (Jersey City)

Vice President, Data Integration Lead

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 experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).

Experience in implementing cloud-based data solutions using AWS services (EC2, S3, EKS, Lambda, API Gateway, Glue) and big data tools (Spark, EMR, Hadoop).

Hands-on experience in data profiling, data modeling, and data engineering using databases (Snowflake, RedShift, DB2, Oracle, SQL Server), ETL tools (Informatica IICS), and scripting languages (Python).

5+ years experience with job / workflow management tools (Autosys) and other pipeline orchestration tools

Experience with source control tools like Git and CI / CD practices

Experience architecting end-to-end data pipelines with both cloud and on-premises stacks.

Experience building / operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.

Understanding of metadata management, data lineage, and data glossaries is a plus.

Working knowledge of agile development, including DevOps and DataOps concepts.

Understanding of serverless architectures (eg. AWS Lambda)

Experience in Jira, Confluence, MS office.

Beneficial

AWS Certification as Cloud Practitioner, Solutions Architect, Developer / Data Engineer.

Experience with reporting tools like Power BI or Tableau.

Understanding Artificial Intelligence and Machine Learning concepts.

Education

Bachelor's degree in computer science or equivalent degree or business or management or finance related fields.

The typical base pay range for this role is between $133K - $164K depending on job-related knowledge, skills, experience, and location. This role may also be eligible for certain discretionary performance-based bonus and / or incentive compensation. Additionally, our Total Rewards program provides colleagues with a competitive benefits package (in accordance with the eligibility requirements and respective terms of each) that includes comprehensive health and wellness benefits, retirement plans, educational assistance and training programs, income replacement for qualified employees with disabilities, paid maternity and parental bonding leave, and paid vacation, sick days, and holidays.