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MUFG

Data Integration Lead – VP

MUFG

. Develop and maintain stakeholder relationships to understand business challenges and identify data-driven solutions .

Posted 10/2/2026full-timeUnited StatesSenior💰 $169,000 - $205,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data infrastructure, pipelines, and data engineering solutions, with a strong focus on data-driven solutions in Banking & Financial Services. Proficient in implementing cloud-based data solutions and ensuring compliance with data privacy and security regulations.

Highest-signal resume keywords
Data Lake InfrastructureCloud Platforms (Snowflake, Databricks, AWS)SQL Optimization and Performance TuningETL/ELT Lifecycle ManagementData Governance and Quality Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringETL Pipeline DevelopmentData ModelingSQL ProgrammingPython ProgrammingPySparkScalaData WarehousingData AnalyticsData APIs
Soft Skills
Stakeholder Relationship ManagementProblem-SolvingCollaboration
Tools & Technologies
AWS Services (EC2, S3, EKS, Lambda, API Gateway, Glue)AutosysGitCI/CD PracticesJiraConfluenceCollibra
Certifications & Qualifications
AWS Certification (Cloud Practitioner, Solutions Architect, Developer/Data Engineer)
Industry Keywords
BankingFinancial ServicesData GovernanceData PrivacyAgile DevelopmentDevOpsDataOps

Tech Stack

Tools & technologies
Amazon RedshiftAWSCloudEC2ETLHadoopInformaticaOraclePySparkPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Develop and maintain stakeholder relationships to understand business challenges and identify data-driven solutions
  • Build extensible data acquisition and integration solutions meeting functional and non-functional requirements
  • Develop and maintain data infrastructure, pipelines, and data engineering solutions
  • Design and deploy automated solutions for building, testing, monitoring, and deploying ETL pipelines in a continuous integration environment
  • Design, build, and launch advanced data models and visualizations across products and domains
  • Conceive, design, and implement Cloud Data Lakes, Data Warehouses, Data Marts, and Data APIs
  • Complete the ETL/ELT lifecycle, including design, mappings, transformations, scheduling, and testing
  • Apply data engineering practices covering APIs, quality, governance, metadata, reference data, catalogs, virtualization, and optimization
  • Review integration developers’ work and recommend methodological improvements
  • Coordinate code promotions, test data and scenarios, and proactive problem detection
  • Manage Autosys batch operations, perform physical and logical data modeling, and use data catalog tools such as Collibra
  • Implement data governance, quality standards, and data security best practices
  • Troubleshoot and optimize workflows to reduce latency and improve scalability
  • Ensure compliance with data privacy and security regulations
  • Build and maintain data dictionaries and process documentation

Requirements

What you’ll need
  • 8+ years of hands-on experience in data science, focused on data-driven solutions in Banking & Financial Services
  • 5+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools
  • 3+ years of experience implementing cloud platforms such as Snowflake, Databricks, S3, and Redshift
  • 3+ years of experience in SQL optimization, performance tuning, and programming languages such as Python, PySpark, and Scala
  • Experience implementing cloud-based data solutions using AWS services including EC2, S3, EKS, Lambda, API Gateway, and Glue
  • Experience with Spark, EMR, Hadoop, Snowflake, Redshift, DB2, Oracle, SQL Server, Informatica IICS, and Python
  • 5+ years of experience with Autosys and other pipeline orchestration tools
  • Experience with Git and CI/CD practices
  • Experience architecting end-to-end data pipelines across cloud and on-premises stacks
  • Experience building and operating highly available, distributed data extraction, ingestion, and processing systems
  • Working knowledge of agile development, DevOps, and DataOps concepts
  • Understanding of serverless architectures such as AWS Lambda
  • Experience with Jira, Confluence, and MS Office
  • Bachelor's degree in Computer Science or a closely related discipline, or an equivalent combination of formal education and experience
  • AWS certification as Cloud Practitioner, Solutions Architect, or Developer/Data Engineer is beneficial

Benefits

Comp & perks
  • Discretionary performance-based bonus and/or incentive compensation
  • 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
  • Paid vacation, sick days, and holidays
  • Hybrid work schedule: four days on-site and one day remote per week