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Senior Data Engineer / Data Architect Enterprise Data and Analytics - Vice President

https://www.citi.com/ Logo

Citi

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Location:
United States , Rutherford

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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
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Job Description:

The Stress Testing Team is responsible for delivering Stress testing related solutions to Citi’s risk & finance organization which manages Citi’s exposure to financial institutions, governments and corporates that trade with Citi. The team engineers, builds and maintains software used to compute metrics that help mitigate Citi’s exposure to counterparty default & help meet regulations like CECL. GSST, IFRS9, CCAR.

Job Responsibility:

  • Design and implement scalable data architectures, including data lakes and data warehouses (e.g., Medallion architecture – Bronze/Silver/Gold)
  • Develop and manage robust ETL/ELT pipelines using tools such as SSIS, Apache Airflow, and Data form
  • Build and optimize high-performance data models and database objects (stored procedures, views, tables)
  • Process and manage large-scale datasets (1TB+ and billions of rows) with high reliability and accuracy
  • Develop and maintain BI dashboards and reports using Tableau, Power BI, Looker, and other reporting tools
  • Collaborate with business stakeholders to translate requirements into actionable insights and analytics solutions
  • Integrate data from multiple systems (Oracle, SQL Server, DB2, APIs, Big Data, Hadoop etc.)
  • Optimize SQL queries and data pipelines for performance and scalability
  • Ensure data quality, governance, and system uptime
  • Lead cross-functional teams and drive data strategy, roadmap, and best practices
  • Mentor team members and support knowledge sharing across teams

Requirements:

  • 6+ years of experience in data engineering, analytics, or BI development
  • Strong expertise in SQL / T-SQL
  • Python
  • ETL tools (SSIS, Airflow, Dataform, Azure Data Factory)
  • Hands-on experience with Tableau or Power BI
  • Experience with data warehousing and data modeling
  • Strong problem-solving and analytical skills
  • Data Engineering & Pipeline Development
  • Data Visualization & Storytelling
  • Cloud Data Platforms (Azure, GCP)
  • SQL Performance Tuning
  • Data Modeling & Warehousing
  • Stakeholder Management & Leadership

Nice to have:

  • Experience with cloud platforms (Azure and/or Google Cloud Platform)
  • Knowledge of BigQuery, Databricks, Spark
  • Experience in fraud analytics or compliance reporting
  • Exposure to machine learning / AI concepts
  • Azure certifications (Data Engineer, AI Fundamentals, etc.)
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
  • discretionary and formulaic incentive and retention awards

Additional Information:

Job Posted:
April 24, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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