Lead Data Architect, Investor Services (Hands-On)

Citigroup Inc.; Jersey City (NJ); On-site; USD 176,720 - 265,080; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k)

Paid time off packages

Job summary

Citigroup Inc. is seeking a technically exceptional Data Architect for their Investor Services Technology group in Jersey City, New Jersey. The role involves serving as the definitive authority on data architecture, working closely with delivery teams to produce high-quality outputs crucial for the Investor Services program.

The ideal candidate should have extensive experience in data architecture, particularly within financial services, and hands-on skills in defining architecture principles, creating data models, and ensuring compliance with data governance standards.

Qualifications

• 10 - 12+ years in technology, with at least 6 years in data architecture.
• Hands-on experience in creating data models and schemas.
• Experience with multi-platform programs in regulated financial institutions.

Responsibilities

• Define and document data publication architecture principles.
• Work with delivery leads to enforce standardized architecture patterns.
• Establish data governance frameworks for compliance and quality.

Skills

Data modelling techniques

JSON Schema and Avro

API design and data contract patterns

Data lineage and cataloguing tools

Production-quality coding in Python or Java

Education

Bachelor's or Master's degree in Computer Science or related

Job description

Citigroup Inc. is seeking a technically exceptional Data Architect for their Investor Services Technology group in Jersey City, New Jersey. The role involves serving as the definitive authority on data architecture, working closely with delivery teams to produce high-quality outputs crucial for the Investor Services program.

The ideal candidate should have extensive experience in data architecture, particularly within financial services, and hands-on skills in defining architecture principles, creating data models, and ensuring compliance with data governance standards.