Senior AWS Implementation Architect

Role at a glance:

• Job ID: HHCJP00002579
• Team: Hyatt's Data Platform Architecture team (same group as the earlier Data Architect req)
• Focus: Building and deploying Hyatt's Enterprise Data Platform on AWS

Must have:

• 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.

Required technical qualifications:

• 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