# Lead Data Engineer – Vice President

Hiring organization: [Citigroup](https://career.thegoodapps.co/organizations/citigroup)

Canonical page: https://career.thegoodapps.co/jobs/30ab0d63-bd03-47ca-876a-2ac9c9ae363e

Listed on Citigroup's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: VP
- Location: Jersey City, NJ
- Salary: 142320 – 213480 USD per year

## Summary

This VP-level data engineering leadership role at Citi involves architecting enterprise data platforms and leading a team to build production-grade pipelines supporting AI and analytics at scale. It suits experienced data engineers ready to move into strategic technical leadership, designing infrastructure for machine learning and real-time processing in a major financial services environment.

_Our summary, not Citigroup's wording._

## Skills named

Apache Airflow, Apache Flink, Apache Hive, Apache Iceberg, Apache Kafka, Chroma, Databricks, Docker, Java, Kubernetes, Milvus, Pinecone, Python, Qdrant, SQL, Terraform

## Required

- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or quantitative field
- 6+ years professional experience in data engineering, software engineering, or data platform development
- 3+ years in technical lead or engineering leadership role
- Expert-level Python and SQL proficiency
- Deep expertise in Apache Iceberg, Apache Pinot, Hive/HDFS, and distributed computing
- Hands-on experience building real-time streaming pipelines with Apache Kafka and Apache Flink at scale
- Experience designing data infrastructure for machine learning, analytics, or AI in production
- Experience with modern table formats like Delta Lake, Apache Iceberg, or Apache Hudi
- Experience with workflow orchestration tools such as Apache Airflow

## Nice to have

- Master's degree in Computer Science, Data Engineering, Information Systems, or related quantitative discipline
- Additional Java proficiency
- Experience with Databricks including cluster tuning and lakehouse optimization
- Familiarity with vector databases such as Milvus, Pinecone, Qdrant, or Chroma for GenAI and LLM use cases
- Understanding of dimensional modeling, Data Vault, and schema-on-read/write design patterns
- Hands-on experience with Docker, Kubernetes, and Terraform for Infrastructure as Code

Apply on Citigroup's site: https://citi.wd5.myworkdayjobs.com/en-US/2/job/Jersey-City-New-Jersey-United-States/Lead-Data-Engineer---Vice-President_26982306