Senior AWS Implementation Architect

Connvertex Technologies • Chicago, IL

4d

About The Position

Hyatt is seeking a Senior AWS Implementation Architect to join their Data Platform Architecture team. This role will focus on building and deploying Hyatt's Enterprise Data Platform on AWS. The ideal candidate will have experience with Kafka at enterprise streaming scale, Kubernetes, Docker, or AWS Fargate, and mixed Windows/Linux server environments, including networking and security management across these systems. This position is hands-on, involving the provisioning of services, automation of deployments, and securing infrastructure, differentiating it from a more strategy-focused role.

Requirements

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

Nice To Haves

• 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

Responsibilities

• 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
• Automate deployments of AWS services and BI applications

What This Job Offers

• Job Type: Full-time
• Career Level: Senior