Quick Overview
Job Description
AWS-native implementation architect
Role at a glance:
· 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
Bottom line: This is a senior, AWS-native implementation architect — someone who doesn't just design on paper but actually builds, automates, and secures the cloud data platform. It leans much more toward hands-on AWS engineer with architecture-level scope than the earlier Data Architect posting, which leaned more toward enterprise strategy and governance. If you're comparing the two Hyatt roles for fit, the deciding factor is: do you want to be closer to hands-on AWS build-out (this role) or closer to enterprise data strategy/standards-setting (the other one)?
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