Software Engineering, Lakehouse and AI Data Platform Engineer, Executive Director, Singapore

GOLDMAN SACHS SERVICES (SINGAPORE) PTE. LTD.

Singapore, Singapore
Not specified
7+ years data engineering experience
Python or java programming skills
Advanced sql and optimization knowledge
Goldman Sachs is seeking an Executive Director for their Software Engineering team focused on building a Lakehouse and AI data platform in Singapore. The ideal candidate should have a strong background in data engineering, programming, and experience with modern data technologies, contributing to building reliable data pipelines and enhancing platform capabilities

Job Summary

  • This role focuses on building the modern Lakehouse and AI data platform that enables reliable, well-governed, and high-performing data use across the firm.
  • Engineers will design, build, test, and support batch and streaming data pipelines while ensuring production-ready quality and operational supportability.
  • The position offers opportunities for technical leadership, shaping delivery approaches, and contributing to shared tooling frameworks within a collaborative engineering environment.

Matching Summary

Match Score: 85

Goldman Sachs is seeking an Executive Director for their Software Engineering team focused on building a Lakehouse and AI data platform in Singapore. The ideal candidate should have a strong background in data engineering, programming, and experience with modern data technologies, contributing to building reliable data pipelines and enhancing platform capabilities.

Skills & Requirements

Must-have

  • 7+ years data engineering experience
  • Python or Java programming skills
  • Advanced SQL and optimization knowledge
  • Apache Spark distributed processing
  • Production pipeline development
  • Data modeling and schema design
  • CI/CD and version control practices

Nice-to-have

  • Experience with Snowflake or Databricks
  • Knowledge of Apache Iceberg format
  • Streaming data pipeline expertise
  • Technical leadership and mentoring
  • Familiarity with containerized deployment
  • Strong stakeholder partnership skills

Key Requirements

  • Minimum 7 years of relevant experience
  • Bachelor's or Master's degree in relevant discipline
  • Strong quantitative skills or data engineering expertise

Work Rights

Not specified

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