AWS Platform Architect (AI & Data Platform) (Data Architect II)
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Role details
Tech stack
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Job description
You will own the end-to-end cloud platform strategy, ensuring robust architecture, operational excellence, and the enablement of AI-driven solutions across the organization.
Key Responsibilities
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Define and implement AWS reference architecture covering services such as:
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AWS Glue, S3, IAM, networking,
Design and deliver scalable, secure, and cost-optimized data
Enable and manage workflow orchestration platforms (e.g., Apache Airflow / MWAA)
Develop and standardize CI/CD pipelines for both application and AI workflows
Establish best practices for:
- Infrastructure-as-Code
- Observability (CloudWatch, logging)
- Security and access management (IAM, KMS, policies
Support and enable AI execution environments, including compute, APIs, and integrations
Requirements
Do you have experience in Terraform?, * Strong experience with AWS services:
- Glue, S3, MWAA, EMR, IAM
Expertise in platform engineering and cloud architecture
Experience with Airflow orchestration
Proficiency in Python
Hands-on experience with Infrastructure-as-Code (Terraform/CloudFormation)
Experience enabling or supporting AI/ML platforms and APIs
Nice to Have
- Experience in data modeling and transformation logic
- Exposure to modern AI platforms (e.g., Claude API or similar, python,infrastructure as code,airflow orchestration,aws glue
About the company
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact-touching billions of lives in the process.
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