Lead Data Engineer Vice President

Citi

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Jersey City, NJ
Salary
$142,320–$213,480 / yr
Posted
9 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $178k
$132k most similar roles pay here $222k

This role pays more than 53% of similar roles. Most pay $142,300–$211,200 — the shaded band above. At the midpoint, this role pays about $178k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 256 open roles on FindRole.

Listed pay typically runs $140,080–$210,120 across 238 roles with salary data.

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At a glance

TL;DR · Lead Data Engineer Vice President

Lead Data Engineer – Vice President joins the Metrics AI & Analytics Group to architect, scale, and optimize enterprise data platforms powering advanced analytics, machine learning, and Generative AI capabilities. This role involves leading a team of engineers to design production-grade, high-performance data pipelines that bridge raw data and intelligent applications. The successful candidate will manage the technical vision for the Data Lake and Analytics platform while performing hands-on development. Key responsibilities include building batch and real-time streaming pipelines using Apache Iceberg, Starburst, Startree/Apache Pinot, Apache Kafka, and Apache Flink. The role requires expert proficiency in Java and SQL, with Python skills highly desired. Core technical requirements include experience with Databricks, Delta Lake, Hive/HDFS, and workflow orchestration tools like Apache Airflow to manage complex data flows within a high-volume distributed environment.

What you'll do

  • Define and drive the technical vision, architecture, and roadmap for enterprise data lakes and analytics platforms.
  • Lead, mentor, and manage a team of data engineers while conducting code and architecture reviews.
  • Develop production-grade batch and real-time streaming pipelines using Java, Kafka, Flink, and Iceberg.
  • Architect and implement feature stores to standardize data delivery for machine learning and AI models.
  • Optimize data storage and query performance across distributed lakehouse environments like Databricks and Delta Lake.
  • Establish automated data quality frameworks, metadata management, and lineage tracking for enterprise compliance.
  • Ensure all data platforms meet strict security requirements, encryption standards, and privacy regulations.
  • Evaluate and prototype emerging technologies to keep the firm's data infrastructure at the cutting edge.

What we're looking for

  • Bachelor's degree or equivalent professional experience in Computer Science, Data Engineering, Information Systems, or a quantitative field.
  • 6+ years of professional experience in data engineering, software engineering, or data platform development.
  • 3+ years of experience in a technical lead or engineering leadership role.
  • Expert-level proficiency in Java and SQL is required.
  • Experience designing and building large-scale data pipelines using technologies like Apache Iceberg, Starburst, Apache Kafka, and Apache Flink.
  • Expertise in big data frameworks including Hive/HDFS and distributed computing principles.
  • Proficiency in modern data orchestration tools such as Apache Airflow or equivalent systems.
  • Strong understanding of data governance, metadata management, data lineage, and enterprise security practices.

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