VP, Data-Driven Shared Services Engineering

Goldman Sachs Group

Dallas (TX)

On-site

USD 180,000 - 260,000

Full time

2 days ago
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Job summary

Goldman Sachs is seeking a Vice President Software Engineer in Dallas for Core Engineering, Shared Services, and Data Engineering. The role focuses on building scalable data platforms, analytics, and AI-enabled solutions across multiple core functions including Risk, Compliance, and Financial Reporting.

The candidate will lead data modelling, warehousing, and automation efforts, driving modernization of software stacks and data pipelines while collaborating with global partners to deliver

Qualifications

  • Bachelor’s degree in Computer Science or related technical discipline.
  • 8+ years of software development experience with data modelling and analytics.
  • Strong programming experience in Java, Python, or C++.
  • Knowledge of relational and columnar SQL databases and data warehousing concepts.

Responsibilities

  • Work in a dynamic, fast-paced environment across Finance and Core divisions.
  • Build and deploy scalable data platforms and analytics solutions.
  • Lead end-to-end software development including requirements, design, coding, testing, and deployment.
  • Collaborate with business partners to translate needs into data-driven solutions.
  • Continuously modernize and consolidate software stacks and data pipelines.

Skills

Programming in Java/Python/C++
SQL databases

Education

Bachelor's degree in Computer Science or related technical discipline

Tools

Databricks
Snowflake
Amazon EMR
Amazon Athena
AWS Glue
dbt

Job description

Goldman Sachs is seeking a Vice President Software Engineer in Dallas for Core Engineering, Shared Services, and Data Engineering. The role focuses on building scalable data platforms, analytics, and AI-enabled solutions across multiple core functions including Risk, Compliance, and Financial Reporting.

The candidate will lead data modelling, warehousing, and automation efforts, driving modernization of software stacks and data pipelines while collaborating with global partners to deliver

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