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Enterprise Data Architect

https://www.citi.com/ Logo

Citi

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Location:
United States, New York

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

142320.00 - 213480.00 USD / Year

Job Description:

The Enterprise Data Architect, Central Operations will be responsible for driving data strategy, architecture, and design across critical initiatives including payments services, global reconciliations, regulatory reporting, liquidity management, and strategic general ledger. This role focuses on creating enterprise-wide data architecture frameworks to standardize data management, improve data pipelines, and automate controls. Key duties include optimizing technical solutions and collaborating across multiple departments to simplify data pipelines while improving analytics and reporting.

Job Responsibility:

  • Define and maintain cohesive front-to-back data architecture across shared operations to reduce fragmentation, support shared services, and move to a real-time, event-based consumption model
  • engage with business, Ops, Finance, and technology teams to understand business drivers, gaps, and pain points in current state
  • apply durability to engineering architecture in order to apply impacts from the CDO SMEs
  • develop key design principles and maintain design conformance in the execution of data architecture across legacy and target state applications covering data definitions, sourcing, consumption, transformation, and storage
  • define / improve logical data models, identify issues with data in transit, and codify logical, physical models in central data catalogue
  • promote use of standards, design guard rails, and foundational components to deliver target state solutions
  • collaborate to identify optimal technical solutions for data management and storage including - data warehousing, data lakes, big data, data mesh, and data fabric
  • evaluate internal/external tooling to develop and visualize data graphs, automate data lineage and tracing, and support end user data analytics
  • produce high-quality documentation and design artefacts
  • efficiently build strong working relationship with Tech and business partners and be viewed as an objective neutral party in executing the target data strategy

Requirements:

  • 8+ years experience in financial services with 5+ years supporting data architecture, data lineage, data integration, data governance, data life cycle management, data quality, and data strategy
  • hands on experience in defining and implementing logical, physical data models across front office / operations risk / finance within Markets, Banking, Trade Services or similar business areas
  • demonstrated expertise with various data architecture concepts including – data warehouse, marts, data mesh, knowledge graphs, data standards and ontologies
  • experience with data management on cloud platforms and real-time streaming data platforms such as Kafka
  • demonstrable experience with Collibra, Databricks, Snowflake, other data management tools
  • experienced in setting and leading Data Management/Governance Councils, Committees and Working Groups, and building reports for multiple levels of management
  • demonstrable experience in defining data standards, controls and driving adoption
  • experience in using AI, ML for data insights, analytics is a plus
  • experience with financial services data regulations such as GDPR, BCBS239, reg. reporting, is a plus
  • strategic thinker with creative problem-solving capabilities
  • bachelor’s degree in IT, Computer Science, or engineering
  • masters degree preferred
  • data governance and/or Master Data Management certifications
  • strong hands-on experience with Agile delivery, product management, value stream methodologies
  • proven track record in producing quality project artefacts, including senior management reports within a technology or risk & controls domain
  • motivated self-starter with ability to pick up and learn new skills and knowledge quickly and navigate the organization
  • ability to build and manage strong engineering teams

Nice to have:

  • Experience in using AI, ML for data insights, analytics
  • experience with financial services data regulations such as GDPR, BCBS239, reg. reporting
What we offer:
  • Medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • planned time off (vacation)
  • unplanned time off (sick leave)
  • paid holidays

Additional Information:

Job Posted:
August 20, 2025

Expiration:
October 31, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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