VP Cloud Data Engineer — Hands-on Data Platform Leader

Goldman Sachs; Dallas (WV); On-site; USD 120,000 - 150,000; Full time

Job summary

Goldman Sachs is looking for a Senior Cloud Data Engineer in Dallas, West Virginia. This role requires 8+ years of hands-on experience with cloud infrastructure and data engineering, focusing on AWS solutions. Your responsibilities will include migrating legacy systems to AWS, building data pipelines, and optimizing performance.

The ideal candidate will possess strong leadership skills, mentor junior engineers, and communicate effectively with non-technical stakeholders. A Bachelor's or Master's degree in a relevant field is required.

Qualifications

• 8+ years of hands-on experience in Data Engineering and Cloud Infrastructure.
• Deep technical expertise in Amazon ECS (Fargate/EC2).
• Expert-level proficiency in Java, Python, and SQL.
• Hands-on experience with Spark, Kafka, and orchestration tools.

Responsibilities

• Execute the migration of legacy ETL and microservices to AWS.
• Build and maintain Docker images and AWS infrastructure.
• Lead code reviews, enforcing performance and security standards.
• Implement observability for migrated microservices.

Skills

Data Engineering

AWS ECS Expertise

Java

Python

SQL

Spark

Kafka

Apache Iceberg

Education

Bachelor’s or Master’s degree in computer science, Engineering, Mathematics, or a related field

Tools

AWS Glue

Snowflake

Docker

Terraform

Apache Airflow

Job description

Goldman Sachs is looking for a Senior Cloud Data Engineer in Dallas, West Virginia. This role requires 8+ years of hands-on experience with cloud infrastructure and data engineering, focusing on AWS solutions. Your responsibilities will include migrating legacy systems to AWS, building data pipelines, and optimizing performance.

The ideal candidate will possess strong leadership skills, mentor junior engineers, and communicate effectively with non-technical stakeholders. A Bachelor's or Master's degree in a relevant field is required.