Senior Data Developer Tech Lead - Vice President

Citi

Remote

Quick summary

Work type: Remote
Location: Irving, TX
Salary: $125,760–$188,640 / yr
Posted: 30 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k

This role $157k

$115k most similar roles pay here $223k

This role pays less than 64% of similar roles. Most pay $157,000–$209,000 — the shaded band above. At the midpoint, this role pays about $157k versus about $183k 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 397 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 367 roles with salary data.

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At a glance

TL;DR · Senior Data Developer Tech Lead - Vice President

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As a Senior Data Developer joining our small, co-located squad in the banking domain, you will lead the design and implementation of scalable Hadoop architectures and real-time data streaming solutions using Apache Kafka. Your day-to-day responsibilities include optimizing Hadoop clusters for performance, collaborating with agile teams to translate diverse data requirements into technical specifications, and ensuring high availability and security of our data infrastructure while adhering to regulatory standards. You will also drive MLOps initiatives, integrate AI/ML models into production environments, and mentor team members on best practices. This role requires extensive experience in big data technologies, proficiency with Python, PySpark, Unix, SQL, and familiarity with cloud platforms like AWS or Azure. A deep understanding of the banking sector's technical and regulatory landscape is essential for success.

Skills

Hadoop Apache Kafka Python PySpark SQL AWS Azure Google Cloud AI/ML MLOps CI/CD Generative AI Spark Unix Data Vault ETL ELT Dimensional Modeling Big Data Real-time Analytics

What you'll do

Lead the design and implementation of scalable Hadoop architecture solutions.
Design and implement real-time data streaming solutions using Apache Kafka.
Optimize Hadoop clusters and streaming applications for performance and scalability.
Implement comprehensive data security and governance policies in banking.
Drive MLOps initiatives to streamline machine learning lifecycle processes.
Develop Spark-based solutions for near real-time data ingestion and analytics.
Take full ownership of end-to-end project delivery for data initiatives.

What we're looking for

10+ years of experience in designing and managing complex Hadoop-based architectures.
Extensive hands-on expertise with real-time data streaming technologies like Apache Kafka.
Proven track record of successful end-to-end project delivery for complex data initiatives.
Strong architectural leadership and player/coach capabilities in big data environments.
Demonstrated proficiency using AI coding tools and integrating machine learning models.
Deep domain understanding within the banking or financial services sector, adhering to relevant regulations.

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