Vice President, Software Engineering

Goldman Sachs

Quick summary

Work type: On-site
Location: Dallas, TX
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $166k

$111k most similar roles pay here $212k

This listing doesn't post a salary. Most similar roles pay $137,575–$194,550.

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.

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At a glance

TL;DR · Vice President, Software Engineering

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As Vice President of Software Engineering at Goldman Sachs in Dallas, you will lead the design and development of data pipelines and scalable APIs to provide accurate business insights across various departments. Your day-to-day responsibilities include collaborating with stakeholders to gather requirements, documenting them, and delivering software solutions that drive business change. You will develop and maintain cloud-based data distribution infrastructure using platforms like Snowflake, AWS, or GCP, while also enforcing data governance controls across divisions. This role requires extensive experience in the full software development lifecycle, proficiency in Python or Java, expertise in ETL jobs and RDBMS with SQL, familiarity with version control systems such as SVN or Git, and hands-on experience with project management tools like JIRA.

Skills

Python Java Snowflake AWS GCP SQL Git JIRA ETL CI/CD RDBMS Subversion

What you'll do

Design and develop highly scalable APIs to provide accurate business data.
Support and maintain data pipelines for efficient data distribution.
Develop and enforce data governance controls across divisions.
Collaborate with stakeholders to document new business requirements.
Implement cloud-based infrastructure using platforms like AWS or GCP.

What we're looking for

Master’s degree in Computer Science, Engineering, or equivalent experience required.
Minimum 2 years of full software development lifecycle experience with Python/Java.
Experience developing and supporting ETL jobs and data pipelines on cloud platforms.
Proficient in relational database management systems and SQL for data manipulation.
Expertise in version control systems like SVN or Git for code management.
Knowledge of cloud infrastructure such as Snowflake, AWS, or GCP is essential.