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

Citi•Rutherford, NJ

About The Position

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. Who you are: We are seeking a highly experienced Senior Data Engineer / Data Architect to lead the design, development, and optimization of enterprise-scale data platforms and analytics solutions. This role is ideal for a hands-on leader with deep expertise in data engineering, business intelligence, and cloud technologies. You will play a critical role in building scalable data pipelines, enabling advanced analytics, and driving data-driven decision-making across the organization.

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 Haves

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.)

Responsibilities

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

Benefits

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.
Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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