Cloud Data Platform & Integration Architect, VP

MUFG•Jersey City, NJ

22d•Hybrid

About The Position

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 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. Job Summary The Cloud Data Platform & Integration Architect is responsible for designing scalable, cloud-agnostic enterprise data platforms and reusable integration patterns. This role defines end-to-end architecture for data ingestion, transformation, movement, and interoperability across analytical and operational ecosystems. The architect partners closely with engineering, governance, and domain teams to deliver secure, governed, and high-performing data solutions that support enterprise data strategy and AI readiness.

Requirements

8–12+ years in data architecture, platform engineering, cloud engineering or integration architecture.
Hands-on expertise in AWS/Azure/GCP data services (multi-cloud or cloud-agnostic architecture).
Strong experience with ETL/ELT pipelines, CDC, API integration, and event streaming systems.
Deep understanding of batch, streaming, and real-time data integration patterns.
Working knowledge of data modeling, metadata patterns, and lineage standards.
Proven ability to translate business requirements into data architecture designs.
Strong stakeholder engagement and communication skills.
Clear communication and facilitation.
Requirements translation and business engagement.
Architectural decision-making and design thinking.
Ability to simplify complex platform concepts for non-technical teams.
Cross-functional collaboration across engineering, cloud, governance, and delivery.
Agile delivery mindset.
Bachelor’s or Master’s in Computer Science, Information Systems, Engineering, or related field.

Nice To Haves

Experience with lakehouse frameworks (Databricks, Snowflake).
Container orchestration or serverless design experience.
Familiarity with infrastructure-as-code and CI/CD patterns.
Exposure to data mesh or federated data architecture models.
Background working with regulated business domains or compliance frameworks.
Cloud certifications (AWS, Azure, GCP) preferred.
Architecture certifications (TOGAF, C4, etc.) are a plus.

Responsibilities

Architect cloud-native data platforms (lakehouse, warehouse, streaming, ingestion services).
Develop enterprise integration patterns (ETL/ELT, CDC, APIs, event streaming, virtualization).
Create reusable reference architectures, onboarding templates, and platform design guidelines.
Partner with cloud engineering to define capability roadmaps and platform guardrails.
Enable domain teams with best practices on ingestion, modeling, and data product onboarding.
Ensure platform designs meet enterprise governance, metadata, lineage, and security standards.
Support modernization and migration accelerators.
Conduct architecture reviews and support delivery teams through design cycles.
Evaluate emerging platform technologies and recommend improvements for scalability and reliability.