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Senior Data Architect/Engineer

https://www.citi.com/ Logo

Citi

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Location:
United States, Jersey City

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided

Job Description:

The role involves modernizing the existing data platform to build a scalable data and reporting architecture. Responsibilities include data architecture design, data quality measures, data governance, and development of data pipelines.

Job Responsibility:

  • Work on data architecture design and principles, data integrity, reference data, data model version, and metadata standards for a data platform
  • Collaborate with Data Product Dev, business and development to address data issues and data feed changes
  • Collaborate with architecture and business users to review architecture design, evaluate technology tools, and technical solutions to influence business decisions
  • Lead to execute data management strategy, define data quality measures, develop automated data validation control process using programing languages and tools, and dashboard monitoring process with automated alerts
  • Identify critical data elements, create data catalog and data lineage for reporting and downstream data feeds
  • Evaluate and review overall data flow adhering with data architecture standards, review with stakeholders, and enhance data governance oversight with change management process
  • Assess complex data flows, and identify opportunities to simplify end-to-end data process
  • Perform data and business process analysis to identify data issues and root causes, and implement resolutions
  • Collaborate with Support to troubleshoot urgent production data issues and implement fixes
  • Contribute design and development of technical and business solutions for data and reporting
  • Engage with a global engineering teams and business partners to create business and functional requirements and solutions
  • Collaborate with senior global development teams, cross functional teams, business and technology Stakeholders, and QA team to develop, track and report
  • Led project plans with cross program interdependencies for end-to-end implementation
  • Develop scalable and resilient data pipelines with real-time and batch processes into data warehouse
  • Support reporting application and downstream changes and testing

Requirements:

  • Expertise in scalable data and event-driven enterprise architecture design, data management and data strategy
  • Strong experience in leading the implementation of enterprise data architecture and data engineering utilizing best engineering practices
  • Strong experience in design data management solutions and implementing including data control, data lineage, data catalogue, and security access
  • Deep expertise in modern data engineering and data integration architecture and technology
  • Excellent verbal and written communication skills, enabling effective collaboration with cross-functional teams, stakeholders, and management
  • Proven ability to effectively use complex analytical, interpretive and problem-solving techniques and execute plan
  • Passion and commitment for process and design simplification
  • Hands-on experience in data pipelines for batch and events-driven data process
  • Hands-on development experience with traditional and modern data systems (relational/non-relational databases, cloud/big data platform, ETL/ELT, data catalogue and data quality/control tools) and data mesh technology
  • Experience in data modeling for a large data warehouse, operational and analytical data stores
  • Excellent verbal and written communication skills, enabling effective collaboration with cross-functional teams, stakeholders, and management
  • Experience data science/machine learning in a plus
  • Innovative mindset and can-do attitude to work under pressure
  • Experience working in financial services
  • Experience in data pipeline and integration using Java, Pythons, Airflow, and performance tuning
  • Experience in AI/ML

Nice to have:

  • Experience data science/machine learning
  • Innovative mindset and can-do attitude
  • Experience in AI/ML
What we offer:
  • Medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
April 29, 2025

Expiration:
May 05, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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