Vice President, Data Engineering

Goldman Sachs

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Quick summary

Work type: On-site
Location: Dallas, TX
Posted: 121 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $165k

$100k $249k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $144,350–$185,000.

Based on 240 similar postings.

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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 71 open roles on FindRole.

Listed pay typically runs $140,000–$250,000 across 34 roles with salary data.

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At a glance

TL;DR · Vice President, Data Engineering

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The Core Engineering, Shared Services, Data Engineering, Vice President, Dallas joins the Shared Services unit to drive consistent engineering strategies, cloud enablement, and AI adoption. This Vice President Software Engineer will modernize and consolidate software stacks while increasing automation to support critical processes like risk, compliance, and financial reporting. Day-to-day responsibilities include managing the end-to-end systems development cycle, from requirements analysis and coding to testing and maintenance. The role requires building scalable software solutions and solving complex problems in data modeling, curation, warehousing, and analytics. Candidates must possess strong programming skills in Java, Python, or C++, along with knowledge of relational and columnar SQL databases. Preferred expertise includes cloud-based data analytics platforms like Databricks, Snowflake, and AWS Glue, as well as experience with ETL/ELT and domain modeling.

Skills

Python Java C++ SQL Databricks Snowflake AWS Apache Spark AWS Glue Amazon EMR Amazon Athena dbt ETL ELT Unity Catalog Apache Polaris LookML Malloy

What you'll do

Develop technical specifications, high-level designs, testing strategies, and implementation plans from business requirements.
Manage the end-to-end systems development cycle including requirements analysis, coding, testing, UAT, and maintenance.
Build and deploy scalable, reliable software solutions to modernize and consolidate existing software stacks.
Solve critical problems related to data modeling, curation, warehousing, and data quality.
Deliver data solutions involving ETL/ELT processes and domain modeling.
Drive the adoption of consistent engineering strategies for data platforms, cloud, and AI enablement.
Explore and implement new and emerging technologies as required by project needs.

What we're looking for

Bachelor’s degree in Computer Science or a related technical discipline.
8+ years of relevant experience in software development, including data structures, algorithms, and software design.
Strong programming experience in at least one language such as Java, Python, or C++.
Hands-on development experience in delivering data solutions, including ETL/ELT and domain modeling.
Knowledge of relational and columnar SQL databases, including database design.
Experience in delivering solutions built on cloud-based, large-scale data analytics platforms (preferred).
Experience as a direct manager of a team of software engineers and related job functions (preferred).
Experience working in the financial services domain delivering software to front-office or finance teams (preferred).

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