Vice President, Software Engineering - Data, Lakehouse and AI Data Platform

Goldman Sachs

Quick summary

Work type
On-site
Location
New York, NY
Salary
$130,000–$250,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $190k
$116k most similar roles pay here $264k

This role pays more than 59% of similar roles. Most pay $151,500–$211,200 — the shaded band above. At the midpoint, this role pays about $190k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

Most-posted roles

View all roles at Goldman Sachs

At a glance

TL;DR · Vice President, Software Engineering - Data, Lakehouse and AI Data Platform

As a Vice President on the Lakehouse and AI Data Platform team, you will design, build, test, and support data pipelines and curated datasets on the firm’s modern data platform. Your responsibilities include developing raw, refined, and curated datasets for analytics, reporting, and AI use cases while ensuring data quality through validation and reconciliation processes. You will work with SQL, Python, Java, Apache Spark, Kafka, Snowflake, and Databricks to build scalable and reliable systems that support the firm’s AI capabilities. This role requires 7-12+ years of experience in data engineering, strong programming skills, and a practical approach to problem-solving in a fast-paced environment where you will collaborate closely with platform teams and data consumers to deliver high-quality outcomes.

What you'll do

  • Design, build, and support data pipelines on the Lakehouse and AI data platform.
  • Develop refined datasets that support analytics, reporting, and AI use cases.
  • Implement controls to ensure completeness, accuracy, and consistency of data.
  • Work with consumers to shape usable and well-documented data products.
  • Communicate progress, risks, and dependencies clearly in a team environment.
  • Contribute to shared tooling or framework components for platform improvement.

What we're looking for

  • 7-12+ years of data engineering experience
  • Strong hands-on programming skills in Python or Java
  • Proficient in SQL and distributed data processing frameworks like Apache Spark
  • Experience building production data pipelines and supporting them collaboratively
  • Understanding of schema design, partitioning, clustering, and temporal data modeling
  • Familiarity with modern data formats such as JSON, Avro, and Parquet
  • Ability to lead delivery for a workstream and manage dependencies effectively

More like this

Similar roles

Lead Software Engineer, Java, Microservices & Cloud

Citi

Remote 13 days ago $113,840$170,760
Java Spring Boot Kafka MongoDB Spring WebFlux Kubernetes Docker ElasticSearch Test-Driven Development Behavior-Driven Development Load Balancing Caching Database Optimization Microservices Parallel Processing Concurrency
Remote