Senior Data Architect Vice President

Citi

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Jersey City, NJ
Salary
$142,320–$213,480 / yr
Employment
Full-time
Posted
29 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $174k
This role $178k
$120k $224k
below market most similar roles pay here above market

This role pays more than 61% of similar roles. Most pay $135,000–$212,250 — the blue band above. At the midpoint, this role pays about $178k versus about $174k 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 268 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 252 roles with salary data.

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At a glance

TL;DR · Senior Data Architect Vice President

JOB TITLE: Senior Data Architect - Vice President The Senior Data Architect - Vice President joins the Technology team to lead the design, development, and implementation of robust, scalable, and secure enterprise-level Java applications. This role involves defining the technical architecture and roadmap for the enterprise data lake and analytics platform, ensuring alignment with cloud-native and hybrid-cloud strategies. Key responsibilities include developing high-performance microservices, mentoring data engineers, and building high-scale batch and real-time streaming data pipelines. The position requires expert-level proficiency in Java, Spring Boot, SQL, and microservices architecture. Candidates must utilize technologies such as Apache Kafka, Apache Flink, Apache Iceberg, Starburst, Snowflake, and Databricks. The work focuses on optimizing data storage and query performance across enterprise data lakes to support machine learning, advanced analytics, and AI applications in global financial services.

What you'll do

  • Define and evolve the technical architecture and roadmap for the enterprise data lake and analytics platform.
  • Design and develop high-performance, scalable, and secure microservices using Java and Spring Boot.
  • Build and maintain high-scale batch and real-time streaming data pipelines using Apache Kafka and Apache Flink.
  • Optimize data storage and query performance across enterprise data lakes, including Snowflake and Databricks.
  • Lead, mentor, and develop a team of data engineers to foster technical excellence and agile delivery.
  • Translate complex business and analytical requirements into scalable data platform capabilities for stakeholders.
  • Evaluate and prototype emerging data technologies and frameworks to maintain platform innovation.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related quantitative discipline.
  • Professional experience in data engineering, software engineering, or data platform development.
  • At least 3 years of experience in a technical leadership or lead engineering capacity.
  • Expert-level proficiency in Java, including the Spring Framework (Spring Boot, Spring Cloud) and microservices architecture.
  • Proficiency in SQL and experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker and Kubernetes.
  • Hands-on experience building and scaling high-volume distributed data lakes and real-time streaming pipelines using Apache Kafka and Apache Flink.
  • Deep expertise in big data frameworks including Apache Iceberg, Startree/Apache Pinot, and Hive/HDFS.
  • Proficiency in Pyspark (preferred); additional expertise in Python is appreciated (preferred).

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