Asset & Wealth Management-Cloud Engineer-Associate-Dallas

WM Data Engineering - Cloud Engineer - Software Engineer - Associate Who We Look For Goldman Sachs Engineers are innovators and problem‑solvers who thrive in fast‑paced global environments. We are seeking a motivated Cloud Engineer to support the WM Data Engineering ecosystem. This role focuses on executing technical blueprints and transitioning legacy on‑premises constraints into scalable, cloud‑native solutions. You will work closely with senior architects to ensure data assets are migrated seamlessly, securely, and cost‑effectively. Key Responsibilities Architecture & Design Implementation: Cloud‑Native Development: Assist in building scalable data platforms using AWS services such as Amazon S3 (Data Lake), AWS Glue, Amazon Redshift, and Amazon Athena. Pipeline Development: Develop and maintain automated ETL/ELT pipelines for batch and real‑time processing using AWS Step Functions, Managed Workflows for Apache Airflow (MWAA), or AWS Lambda. Modern Data Patterns: Implement Lakehouse architectural patterns to support high‑performance analytics across business units. Data Governance & Security: Compliance & Security: Apply internal security standards and adhere to financial regulations (e.g., GDPR, CCPA, SOC2). Implement IAM policies, data encryption (AWS KMS), and access controls via AWS Lake Formation. Data Quality: Execute frameworks for automated data quality checks and maintain metadata management to ensure trusted reporting. Cloud Optimization: Cost & Performance: Support cost‑management initiatives using S3 Intelligent‑Tiering and serverless scaling. Monitor pipeline throughput to meet Service Level Agreements (SLAs). Infrastructure as Code (IaC): Utilize Terraform, AWS CDK, or CloudFormation for consistent infrastructure deployments. Modernization: Migration Support: Contribute to the migration of on‑premises data workloads to AWS. AI/ML Readiness: Help build the data foundations required for predictive modeling and generative AI applications. Qualifications Experience: Approximately 5 years of experience in Data Engineering or Cloud Development, with a focus on distributed systems. Technical Skills: Experience with modern data platforms like Snowflake and cloud‑native AWS services. Understanding of open‑source table formats, specifically Apache Iceberg. Proficiency in Java, Python, and SQL. Hands‑on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Soft Skills: Strong problem‑solving "builder" mindset and the ability to communicate technical concepts within a team environment. Education Bachelor's or Master's degree in computer science, Engineering, Mathematics, or a related field. Equal Opportunity & Accommodations Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. We are committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: #J-18808-Ljbffr The Goldman Sachs Group