Big Data Tech Delivery Lead - Senior Vice President

Citi

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$141,440–$212,160 / yr
Posted
147 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k
This role $177k
$133k most similar roles pay here $222k

This role pays less than 51% of similar roles. Most pay $157,000–$211,200 — the shaded band above. At the midpoint, this role pays about $177k versus about $184k 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 391 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 361 roles with salary data.

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At a glance

TL;DR · Big Data Tech Delivery Lead - Senior Vice President

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The Big Data Tech Delivery Lead is a senior-level position within the Technology Team at Applications Development, focusing on designing and implementing robust data pipelines and systems for large-scale financial datasets. This role involves developing, testing, and maintaining big data solutions using Java and frameworks like Hadoop, Spark, and Kafka, while also researching new technologies to enhance system capabilities. The ideal candidate has over 10 years of experience in building enterprise data warehouse systems and managing large teams, with a strong background in application development for the finance sector. Key skills include expertise in big data technologies such as Spark, Java/J2EE, Hadoop, Hive, Impala, Kafka, and Elastic, along with project management and risk management capabilities.

Skills

Java Hadoop Spark Kafka Elasticsearch Terraform CI/CD Python PostgreSQL Docker AWS Azure Google Cloud Platform Git Jenkins Prometheus Grafana Scrum Agile

What you'll do

  • Design and implement robust data pipelines for ingestion, processing, and storage.
  • Develop and maintain big data solutions using Java and frameworks like Hadoop and Spark.
  • Create and optimize algorithms to extract insights from large datasets efficiently.
  • Ensure data quality, integrity, and security in big data ecosystems.
  • Research and evaluate new AI/ML technologies to enhance system performance.

What we're looking for

  • 10+ years of experience in building data engineering solutions for large-scale reporting and data warehouse implementations.
  • Expertise in Java/J2EE, Hadoop, Spark, Hive, Impala, Kafka, and Elastic for big data processing.
  • Proven ability to manage and prioritize multiple projects and handle large teams effectively.
  • Experience in enterprise architecture, data & database architecture, and project management.
  • Knowledge of Big Data/Spark suite and AI/ML advancements to enhance system capabilities.
  • Strong skills in developing robust data pipelines and ensuring data quality, integrity, and security.

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