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# Senior AWS Implementation Architect

- **Company:** Connvertex Technologies Inc.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $80,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Unix, Software as a Service, Cyber Security, Computer Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Migration, Data Warehousing, Linux, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Linux Servers, MongoDB, Platform as a Service (PAAS), Windows PowerShell, Redis, SQL Databases, Scripting, Delivery Pipeline, Snowflake, State Machines, Electronic Medical Records, Amazon Virtual Private Cloud (VPC), Cloudformation, Build Management, Amazon Relational Database Service, AWS Aurora, Kubernetes, Deployment Automation, AWS Fargate, Apache Kafka, Data Management, Machine Learning Operations, Functional Programming, Data Delivery, Terraform, Data Pipelines, Docker, Jenkins
- **Published:** September 17, 2026
- **Apply:** https://www.careerjet.com/jobad/uscd115d453a7dda955905d091a35df7ec

## About the Role

* 6+ years in application/platform engineering, BI, or analytics
 * 4+ years senior AWS cloud data engineering - architecting, managing, implementing best practices
 * Data warehousing: Snowflake, Redshift, or similar
 * Deep AWS service knowledge: S3, EC2, RDS, Lambda, CloudFormation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, Security Groups
 * DB/programming: SQL, Python, PostgreSQL, AWS Aurora/RDS, MongoDB, Redis
 * CI/CD: GitHub Actions, Jenkins, AWS CodePipeline, CloudFormation, Terraform
 * Strong IAM roles/policies expertise
 * AWS cloud monitoring/alerting setup
 * Scripting: PowerShell and/or Python
 * PaaS/SaaS application performance knowledge
 * Ability to read enterprise architecture diagrams + understand IT security requirements

Additional qualifications:

 * Comfort with ambiguity, fast-paced/changing environment
 * Experience building scalable data pipelines
 * On-premises to AWS migration experience specifically
 * BA/BS in Computer Engineering, CS, or related field
 * Strong communication skills

## Description

* Kafka at enterprise streaming scale
 * Kubernetes, Docker, or AWS Fargate
 * Mixed Windows/Linux server environments
 * Networking/security group/policy management across UNIX, Linux, Windows

What you'd actually do:

 * Design and build enterprise data solutions aligned to Hyatt's target-state architecture
 * Implement data migration, data delivery, and ML pipelines
 * Set up and manage IAM roles/policies
 * Build resilient, secure, performant data platforms and applications
 * Work day-to-day with app dev and data engineering teams on implementation (not just strategy)
 * Automate deployments of AWS services and BI applications

How this differs from the earlier Data Architect role: that one was strategy/governance-heavy (standards, principles, data quality frameworks, stakeholder alignment). This one is far more hands-on AWS implementation - provisioning services, automating deployments, securing infrastructure.


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