Job description

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. Overview: We are building a high-impact architecture team focused on advancing enterprise data platforms, AI capabilities, and information architecture at scale. The Enterprise Data & AI Architect will lead the design and evolution of scalable, secure, and governed architectures that support analytics, operational workloads, and AI-driven innovation. This role spans data platforms, integration, semantic modeling, AI foundations, and enterprise governance , enabling consistent, reusable capabilities across the organization. This position supports multiple architect tracks , and candidates will be aligned based on their strengths and experience: Data Platform Architecture Cloud Data & Integration Architecture AI & Data Architecture Knowledge / Semantic Architecture Data Product & Information Architecture Enterprise Data Architecture Key Responsibilities: 1. Data Platform & Integration Architecture Design scalable enterprise data platforms (lakehouse, data warehouse, streaming, ingestion layers) Define modern integration patterns : ETL / ELT Change Data Capture (CDC) APIs and event-driven architectures Drive platform modernization , interoperability, and data movement strategies 2. AI & Knowledge Architecture Architect AI-ready data foundations for analytics, machine learning, and generative AI Define and implement: Semantic models Ontologies Metadata standards Knowledge graph frameworks Enable advanced AI use cases including: Retrieval-Augmented Generation (RAG) Semantic search Explainable AI patterns 3. Information & Data Product Architecture Design business-aligned data products and reusable data assets Define architectures for: Metadata management Data lineage Data quality and governance Enable trusted, discoverable, and reusable data ecosystems 4. Enterprise Architecture & Governance Establish architecture standards, patterns, and reference models Participate in Architecture Review Boards (ARB) and governance processes Ensure alignment with enterprise strategy, risk, and compliance requirements 5. Architecture Enablement & Collaboration Partner across engineering, cloud, AI, and governance teams Develop reusable: Architecture templates Standards and guidelines Onboarding frameworks Provide hands-on guidance to delivery teams across platforms Required Qualifications 8 years of experience in: Data Architecture Platform Architecture AI Architecture or related fields Proven experience designing enterprise-scale data platforms and integration solutions Strong expertise in: Data storage, processing, and integration architectures Cloud platforms ( AWS, Azure, or GCP ) Modern data paradigms (lakehouse, warehouses, APIs, event-driven systems) Demonstrated ability to translate business requirements into scalable architectures Strong communication and stakeholder engagement skills Experience working in cross-functional enterprise environments Areas of Specialization (One or More) A. Data Platform & Integration ETL / ELT, CDC, streaming, APIs Scalability, performance optimization, resiliency B. AI & Data Architecture AI / ML, Generative AI, RAG AI-ready data foundations and MLOps alignment C. Knowledge & Semantic Architecture Ontologies, knowledge graphs, semantic modeling Metadata, lineage, and AI trust frameworks D. Information & Data Product Architecture Data products and domain-aligned data models Metadata strategy and data governance E. Enterprise Data Architecture Architecture standards, operating models, and governance ARB participation and capability frameworks Preferred / Nice to Have Experience with modern platforms such as: Snowflake Databricks Exposure to: Data mesh or federated data models Experience in regulated environments (e.g., financial services) Familiarity with: Metadata platforms Governance tooling Knowledge of: Infrastructure-as-Code CI/CD MLOps practices Core Competencies Strong systems thinking and architectural design skills Ability to simplify complex concepts for diverse audiences Excellent collaboration and cross-functional leadership Ability to influence without authority Structured, analytical problem-solving mindset Why Join Us This is a unique opportunity to: Shape enterprise-wide data and AI strategy Influence architecture across multiple platforms and domains Build foundational capabilities that enable innovation Work at the intersection of data, AI, and modern architecture practices Bottom Line If you’re passionate about building scalable data ecosystems, AI-ready platforms, and enterprise architecture frameworks , this role gives you the opportunity to drive real impact at scale . Education: •Bachelor s degree in Computer Science or a closely-related discipline, or an equivalent combination of formal education and experience “ Visa sponsorship/support is based on business needs. We do not anticipate providing visa sponsorship/support for this position.” The typical base pay range for this role is as follows: New York / New Jersey: $172k – $191k 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. Our hybrid work schedule is four days on-site and work remotely one day per week. MUFG Benefits Summary We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws (including (i) the San Francisco Fair Chance Ordinance, (ii) the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, (iii) the Los Angeles County Fair Chance Ordinance, and (iv) the California Fair Chance Act) to the extent that (a) an applicant is not subject to a statutory disqualification pursuant to Section 3(a)(39) of the Securities and Exchange Act of 1934 or Section 8a(2) or 8a(3) of the Commodity Exchange Act, and (b) they do not conflict with the background screening requirements of the Financial Industry Regulatory Authority (FINRA) and the National Futures Association (NFA). The major responsibilities listed above are the material job duties of this role for which the Company reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of conditional offer of employment, if any. 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.

Requirements

Must-haves

Do you want your voice heard and your actions to count?
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.
We are building a high-impact architecture team focused on advancing enterprise data platforms, AI capabilities, and information architecture at scale.
Data Platform Architecture
Cloud Data & Integration Architecture
AI & Data Architecture
Knowledge / Semantic Architecture
Data Product & Information Architecture
Enterprise Data Architecture
Data Platform & Integration Architecture
Design scalable enterprise data platforms (lakehouse, data warehouse, streaming, ingestion layers)
ETL / ELT Change Data Capture (CDC)
APIs and event-driven architectures
Drive platform modernization , interoperability, and data movement strategies
AI & Knowledge Architecture Architect AI-ready data foundations for analytics, machine learning, and generative AI
Define and implement: Semantic models
Metadata standards
Knowledge graph frameworks
Enable advanced AI use cases including: Retrieval-Augmented Generation (RAG)
Semantic search
Explainable AI patterns
Information & Data Product Architecture Design business-aligned data products and reusable data assets

Nice-to-haves

Preferred / Nice to Have Experience with modern platforms such as: Snowflake

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningawsazuregcpmlci/cd

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

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