Python Cloud Native Lead
Summary
Python Application Engineer designing, building, and maintaining serverless applications that orchestrate data pipelines using AWS Lambda, Step Functions, Python, Snowflake, and Terraform for data synchronization across platforms.
We're seeking a Python Application Engineer to design, build, and maintain serverless applications that orchestrate data pipelines to sync investor data across Snowflake, Salesforce, and API-driven platforms. You'll architect complex multi-step workflows, optimize data transformations, and ensure reliable execution across development, QA, and production environments. TECHNICAL STACK (WHAT YOU'LL USE DAILY) Orchestration: AWS Lambda + Step Functions Data Processing: Python with PyArrow for efficient ETL Data Warehouse: Snowflake for structured data extraction and storage Infrastructure: Terraform for IaC, GitHub Actions for CI/CD State & Caching: DynamoDB for pipeline metrics and execution state Observability: CloudWatch + DataDog structured logging, AWS X-Ray tracing API Integrations: REST APIs (Salesforce, Anduin IDM, custom endpoints)