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NEXTMOVEFDE careers · United States
Citigroup

Senior Data Engineer - Vice President

AI summary of the role

This Vice President-level Senior Data Engineer role at Citi focuses on designing and optimizing scalable data infrastructure on cloud platforms, with exposure to AI projects like RAG and Agentic AI.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Design, build, and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks.
  • Implement and manage Lakehouse architecture with Delta Lake, enforcing data quality, schema evolution, and governance via Unity Catalog.
  • Lead design and architecture of Starburst-based data solutions and implement data federation strategies.
  • Partner with data scientists to support AI model development and contribute to RAG and Agentic AI projects.

What you’ll bring

  • Expert-level proficiency in Python and its data ecosystem (Pandas, NumPy, Dask).
  • Extensive hands-on experience with PySpark, Databricks, and Delta Lake.
  • Strong practical experience with Ab Initio suite (GDE, Co>Operating System, Conduct>It).
  • Hands-on experience with Snowflake including data modeling, RBAC, and performance tuning.

Technologies

PySpark · Databricks · Delta Lake · Snowflake · Starburst · Ab Initio · Apache Iceberg · AWS · Azure · GCP

About Citigroup

Global bank serving institutions, governments, investors and consumers across payments, markets, banking, wealth and U.S. cards.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

Citi is seeking a highly skilled and experienced Senior Data Engineer to join our dynamic and innovative technology team. The ideal candidate will have a robust background in data engineering, with deep expertise in a variety of modern data technologies and a proven track record of working on large-scale data projects. This role will be pivotal in designing, building, and optimizing our data infrastructure on cloud platforms, and will also provide exposure to cutting-edge Artificial Intelligence projects, including Retrieval-Augmented Generation (RAG) and Agentic AI systems. The candidate must be proficient in Agile methodologies and possess strong leadership and client-facing skills to guide projects to successful completion while balancing stakeholder needs and organizational goals. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL,
More from the job description

Citi is seeking a highly skilled and experienced Senior Data Engineer to join our dynamic and innovative technology team. The ideal candidate will have a robust background in data engineering, with deep expertise in a variety of modern data technologies and a proven track record of working on large-scale data projects. This role will be pivotal in designing, building, and optimizing our data infrastructure on cloud platforms, and will also provide exposure to cutting-edge Artificial Intelligence projects, including Retrieval-Augmented Generation (RAG) and Agentic AI systems. The candidate must be proficient in Agile methodologies and possess strong leadership and client-facing skills to guide projects to successful completion while balancing stakeholder needs and organizational goals. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake on Databricks, ensuring efficient ingestion, transformation, and integration of large-scale datasets across cloud platforms. Cloud Data Platform Management: Implement and manage data solutions on cloud platforms (e.g., AWS, GCP, Azure). Leverage cloud-native services for data storage, processing, and analytics. Big Data Technologies: Work extensively with big data frameworks and platforms such as Databricks, Snowflake, and open table formats like Apache Iceberg to process and analy [... source excerpt omitted ...] y of project milestones. Leadership and Project Guidance: Provide technical leadership to steer the project in the right direction, making critical decisions that align with both client interests and the organization's strategic benefits. Mentor junior engineers and promote best practices. Stakeholder and Client Interaction: Serve as a key point of contact for stakeholders and clients. Effectively communicate project progress, manage expectations, and translate complex business requirements into actionable technical tasks. Core Data Technologies: Python: Expert-level proficiency with Python and its data ecosystem (e.g., Pandas, NumPy, Dask). Experience should include writin [... source excerpt omitted ...] (RAG) and Agentic AI systems. Agile Proficiency: Deep familiarity with Agile and Scrum methodologies, with a proven ability to deliver projects iteratively and adapt to changing requirements. Leadership & Influence: Demonstrated ability to provide technical leadership, influence architectural decisions, and steer projects towards successful outcomes that align with both client needs and long-term organizational strategy. Client Engagement: Exceptional communication and interpersonal skills, with proven proficiency in client interaction. Must be able to articulate complex technical concepts to diverse audiences and build strong stakeholder relationships. Recommended Qualification

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