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Job #: 94713
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1/13/2026 12:53:42 PM
Onsite Contract Position for AWS Solution Architect with Python API and PySpark Exp in St. Louis, MO
Locations: St. Louis, MO Duration: Contract Job Description: We are seeking a highly experienced and skilled Solutions Architect to lead the design, architecture, and optimization of our enterprise-level data processing and application platforms on AWS. The ideal candidate will possess deep expertise in a range of AWS services and big data technologies, ensuring our solutions are scalable, cost-effective, secure, and align with strategic business objectives. Key Responsibilities: * Architect and Design: Design and document comprehensive, secure, and scalable technical solutions on AWS leveraging services like Pyspark, flink, Fargate, EMR, EC2, DynamoDB, DocumentDB, Airflow(MWAA). * API Development: Oversee the design and development of performant and secure Python APIs to expose data and application functionalities to internal and external systems. * 10+ years of experience in AWS services. * Strong hand on experience working and expected to work on the development * Data Pipeline Development: Lead the architecture of complex batch and real-time data pipelines using big data processing frameworks, including PySpark ensuring efficient data flow and transformation. * Orchestration and Automation: Implement robust workflow orchestration using Apache Airflow (MWAA) for building, scheduling, and monitoring complex data and application workflows. * Database Management: Design and optimize data storage solutions using relational and NoSQL databases, including Amazon DynamoDB and Amazon DocumentDB, to meet performance and scalability requirements. * Infrastructure as Code (IaC): Drive the automation of infrastructure deployment using IaC tools (e.g., Terraform or CloudFormation) and implement CI/CD pipelines following DevOps best practices. * Technical Leadership & Collaboration: Provide technical guidance and mentorship to data engineering and development teams, ensuring alignment with architectural vision and best practices. Collaborate with stakeholders to translate business requirements into technical specifications. * Performance Optimization & Cost Management: Monitor and optimize the performance, cost-efficiency, and resource utilization of all deployed solutions on AWS.
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