This listing doesn't post a salary. Most similar roles pay
$157,200–$223,750.
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
134 open roles
on FindRole.
Listed pay typically runs
$137,000–$250,000
across 55 roles with salary data.
Software Engineering - Data, Lakehouse and AI Data Platform Engineer - Vice President - Dallas joins the Lakehouse and AI Data Platform team to build foundational data infrastructure for firm-wide AI and analytics capabilities. This role involves designing, building, and supporting batch and streaming data pipelines, creating curated datasets, and developing shared tooling to improve platform functionality. The engineer will manage ingestion, transformation, modeling, and quality controls to ensure reliable production outputs. Key technical requirements include proficiency in Python or Java, SQL for optimization, and experience with distributed processing frameworks like Apache Spark. Candidates must work with formats such as JSON, Avro, and Parquet while navigating environments involving Snowflake, Databricks, and Kafka. The role addresses the challenge of creating well-governed, high-performing data products to support operational decision-making and emerging AI use cases within a complex technical ecosystem.
Build, enhance, and support batch and streaming data pipelines on the Lakehouse and AI platform.
Refactor and modernize existing data flows to improve reliability, performance, and maintainability.
Develop raw, refined, and curated datasets for analytics, reporting, and AI use cases.
Apply data modeling principles to represent business entities and historical changes accurately.
Implement controls to validate the completeness, accuracy, and consistency of data across pipelines.
Build reusable tooling and shared framework components to improve platform functionality and operations.
Lead technical design, task breakdown, and mentorship for junior engineers on complex workstreams.
What we're looking for
7-12+ years of experience.
Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience with strong quantitative skills or data engineering expertise.
Strong hands-on programming experience in Python or Java.
Good working knowledge of SQL, including troubleshooting, optimization, and data analysis.
Familiarity with software engineering fundamentals, including version control, testing, release discipline, and CI/CD practices.
Experience building or supporting production data pipelines using distributed processing frameworks like Apache Spark.
Working knowledge of common data formats such as JSON, Avro, and Parquet.
Ability to lead delivery for a workstream, manage dependencies, and support less experienced engineers.