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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Solution Architect - **Company:** Indotronix International Corporation - **Location:** Chicago, IL, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Windows, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Applications Architecture, Unix, Software as a Service, Cloud Computing, Cloud Database, Cyber Security, Continuous Integration, Information Engineering, Data Infrastructure, Data Migration, Data Security, Data Systems, Data Warehousing, Linux, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Linux Servers, MongoDB, Platform as a Service (PAAS), Windows PowerShell, Redis, Software Engineering, SQL Databases, Enterprise Data Management, Scripting, Delivery Pipeline, Snowflake, State Machines, Electronic Medical Records, Amazon Virtual Private Cloud (VPC), Cloudformation, Amazon Relational Database Service, AWS Aurora, Kubernetes, Deployment Automation, AWS Fargate, AWS Data Analytics, Apache Kafka, Data Management, Machine Learning Operations, Functional Programming, Data Delivery, Terraform, Data Pipelines, Docker, Jenkins - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/aws-data-solution-architect-chicago-il--8ada82c5-5750-40f2-a013-6401b91548a0 ## About the Role Amazon Web Services (AWS), Amazon Web Services (AWS), Data Science, Analysis Skills, Data Migration, Identity Data Management, Information/Data Security (InfoSec), Project Planning, Software Development, Business Intelligence Software, * 8+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards. * Experience with data warehousing platforms such as Snowflake, Redshift or similar. * Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups. * Experience with DB technologies (e.g., SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, Redis). * Experience with CI/CD tools, pipelines, and scripting for automation. (GitHub Actions, Jenkins, AWS Code Pipeline tools, Cloud formation and Terraform). * Strong knowledge configuring AWS cloud monitoring and alerts for cloud resource availability. * Strong scripting experience using PowerShell and/or Python. * High degree of knowledge in PaaS and SaaS application performance. * Understand enterprise level application architecture diagrams and IT security requirements. PREFERRED EXPERIENCE: * Experience with large scale enterprise streaming services such as Kafka. * Experience with Kubernetes and Docker containers or AWS Fargate. * Experience implementing applications with both Windows and Linux server OS * Experience with networking, security groups, or policy management in relation to Cloud resources across multiple operating systems, including UNIX, Linux, or Windows * Advance CS degree. Required Skills : Word ## Description Client seeks an experienced Solution Architect who will be an exceptional addition to our growing Data Platform Architecture team. The Solution Architect will work closely with data engineering, data product managers and data science teams to meet data requirements of various initiatives for the client. As a Solution Architect, you will work on the creation of Enterprise Data Platform for the client. As a valued member of the Data Platform Architecture team, you will work on shaping and building new analytical solutions to deploy in support of our internal clients Overview * Provides expert guidance to projects to ensure that their processes and deliverables align with the client's target state architecture. * Design and develops enterprise data solutions based on architecture and standards leveraging leading architecture practices and advanced data technologies. * Implement solutions for data migration, data delivery and ML pipelines. * Implement Identity Access Management Roles and policies. * Build resilient, reliable, performant and secure Data Platform and Applications. * Work closely with application development and data engineer teams on day-to-day tasks along with project planning and implementation. * Automate deployments of AWS services and BI Applications., Project Verification Info :"The information provided below is for Client Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Client Systems Vendor Management. MSA: Blanket Approval Received Client Letter: Will Not Provide" Exclusive to Client :No