Senior Data Platform Engineer - Data Integration, VP

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 Overview

MUFG Bank is looking for an experienced data platform engineer with a strong background in Data Integration Technologies.

The ideal candidate will have a deep understanding of data integration, data quality and big data processing engines on Cloud Native and Cloud agnostic platforms.

Candidate must have proficiency with multiple data integration tools like Data Stage, Talend, Ab initio, Informatica and AWS services for Data Integration.

Responsibilities :

Platform Management :

• Install, configure and manage enterprise data integration platforms including Data Stage, Talend, Ab initio, Informatica and AWS Glue in AWS cloud environments and in on-premises infrastructure.
• Perform critical role in migration of code base from one Data Integration platform to another.
• Hands on Experience working with AWS services including Glue, S3, EKS, Data Pipeline, Step functions and establishing connectivity to AWS services like RDS from Informatica, data stage, Apache Spark.
• Experience with working on big data processing platforms like Apache Spark, building ETL code using Apache pyspark.

Platform Integration & Migration :

• Good understanding of benefits / limitations offered by each platform and migrations paths offered by different vendors.
• Work closely with multiple development teams, enterprise architects to perform third party tools assessment and participate in evaluation / comparison of offering, capability of each tool etc.
• Lead effort to Lift & shift / Replatform / Refactor of on premises Data Integration tools like Informatica PowerCenter to Cloud Native / Cloud agnostic platforms.

Collaboration & Teamwork :

• Participate in knowledge sharing, educating, and creating documentation with onshore / offshore teams.
• Work with Development and architecture groups to design and deliver a data integration and workflow framework that provides data integration, data quality functionalities using different data integration tools from multiple vendors.
• Participate in architecture discussions, influence product roadmap, and take ownership and responsibility of new projects.
• Maintain and support existing platforms and evolve to newer technology stacks and architecture.

Security and Compliance :

Implement and enforce security best practices for Data Integration Platforms with 'Secure by Design' principles. Ensure compliance with relevant regulations and internal policies through proper configuration and auditing.

Documentation and Support :

Create and maintain comprehensive documentation for infrastructure designs, procedures, and configurations using Confluence and Jira.

Provide support and troubleshooting assistance to other team members and stakeholders as needed.

Qualifications :

• Bachelor's degree in computer science, Information Technology, or related field; or equivalent work experience.
• Familiarity with data processing systems such as Apache Spark and Pyspark
• Strong proficiency with AWS cloud services, including but not limited to Glue, S3, EKS, Data Pipeline, Step functions, RedShift, Amazon EMR.
• Hands-on experience with data integration platforms including Data Stage, Talend, Ab initio, Informatica.
• Demonstrated experience in designing and implementing data platform integration infrastructures using well architected framework.
• Strong problem-solving skills and the ability to work independently as well as in a team environment.
• Excellent communication skills, both written and verbal, detail-oriented with strong organizational and documentation skills.
• At least 5 years of experience in Data warehousing.

The typical base pay range for this role is between $139K - $168K 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.

For more information on our Total Rewards package, please click the link below.

MUFG Benefits Summary

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.