Senior Cloud Database Engineer, Transaction Banking, Cloud Engineering

Goldman Sachs • Dallas, TX

1d

About The Position

At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here. Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital. Who We Look For We are seeking an experienced Cloud Database Engineer to drive the architecture, automation, and modernization of our data estate. In this role, you will use Terraform to manage our AWS database infrastructure and lead critical database migration initiatives. You will support a diverse mix of relational and NoSQL databases—including MongoDB—ensuring they are resilient, scalable, and optimized for our data-intensive environment. How You Will Fulfill Your Potential Infrastructure as Code (IaC): Architect and provision production-grade database clusters (Aurora, RDS, MongoDB/DocumentDB) using Terraform, ensuring modularity and state consistency. Database Migrations: Plan and execute complex database migrations (e.g., On-prem to Cloud, or engine conversions) with minimal downtime using tools like AWS DMS (Database Migration Service) or native replication. DocumentDB Management: Deploy, secure, and scale MongoDB clusters (Atlas or DocumentDB), optimizing for document structure, indexing strategies, and sharding performance. AWS Database Operations: Manage the lifecycle of managed services like Amazon Aurora and DynamoDB, focusing on high availability, backups, and disaster recovery. Performance Tuning: Analyze query performance and locking issues across both SQL and NoSQL engines to ensure stability under load.

Requirements

• Cloud Database Engineering: 5+ years of experience engineering AWS database solutions (RDS, Aurora, DynamoDB etc.).
• Strong hands-on experience administering Document databases in a production environment, including index optimization and cluster scaling.
• Proven track record of executing database migrations (heterogeneous or homogeneous) and modernization projects.
• Expertise in writing Terraform for stateful resources (handling lifecycle rules, preventing accidental deletion).
• Ability to write Python scripts for custom automation and migration validation.

Nice To Haves

• Familiarity with Apache Airflow and Apache Flink ecosystems (understanding how these tools connect to and stress the database layer).
• Experience managing Apache Cassandra for wide-column storage needs.
• Advanced ability to troubleshoot complex SQL queries and optimize schemas.

Responsibilities

• Architect and provision production-grade database clusters (Aurora, RDS, MongoDB/DocumentDB) using Terraform, ensuring modularity and state consistency.
• Plan and execute complex database migrations (e.g., On-prem to Cloud, or engine conversions) with minimal downtime using tools like AWS DMS (Database Migration Service) or native replication.
• Deploy, secure, and scale MongoDB clusters (Atlas or DocumentDB), optimizing for document structure, indexing strategies, and sharding performance.
• Manage the lifecycle of managed services like Amazon Aurora and DynamoDB, focusing on high availability, backups, and disaster recovery.
• Analyze query performance and locking issues across both SQL and NoSQL engines to ensure stability under load.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees