Senior Wealth Investment Data Tech Lead

Citi

Remote

Quick summary

Work type: Remote
Location: Jersey City, NJ
Salary: $176,720–$265,080 / yr
Posted: 37 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k

This role $221k

$127k most similar roles pay here $280k

This role pays more than 83% of similar roles. Most pay $141,425–$213,187 — the shaded band above. At the midpoint, this role pays about $221k versus about $177k for comparable roles.

Based on 239 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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View all roles at Citi

At a glance

TL;DR · Senior Wealth Investment Data Tech Lead

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The Applications Development Group Manager is a senior leadership role within the Technology Team, overseeing a department focused on developing and implementing advanced application systems. This hands-on engineering lead will design and develop complex data processing pipelines using Spark and Kafka, ensuring real-time and batch data delivery across platforms while adhering to enterprise-grade Data Governance standards. The ideal candidate possesses extensive experience in Wealth Management data space, including investment flows and core financial products like Cash Equity and Fixed Income. They should be proficient with technologies such as Hadoop, Cloudera, AWS, GCP, Snowflake, and Databricks, and have a strong background in AI tools and cloud-native platforms. The role requires excellent communication skills to manage diverse stakeholders and prioritize multiple projects effectively, bridging the gap between business, technology, and analytics teams within a large global bank setting.

Skills

Spark Kafka AWS GCP Snowflake Databricks Hadoop Cloudera RDBMS Python Data Governance Metadata Management AI Technologies Cross Platform Interoperability Batch Data Pipelines Real-time Data Delivery Big Data Technologies Flink Hive HBase

What you'll do

Manage a team to develop and implement new or revised application systems.
Design and develop batch/real-time Spark processing pipelines for data engineering.
Ensure adherence to Data Governance standards including lineage and metadata management.
Enable cross-platform interoperability with focus on self-service real-time data delivery.
Build cloud-native data platforms using AWS, GCP, and modern data architecture technologies.

What we're looking for

Extensive experience in applications development and wealth management data domain.
Expertise in Spark framework, including Core Spark, Data Frames, and Streaming.
Proven ability to manage complex stakeholder relationships and prioritize multiple projects.
Experience with cloud-native data platforms (AWS & GCP) and modern data architecture.
Leadership of large multi-domain teams and cross-platform interoperability expertise.
Knowledge of core investment products and regulatory, business, and operational use cases.

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