We are seeking an experienced AWS Cloud Data Administrator with strong expertise in Cloud Infrastructure Data Lakehouse architecture Data Governance and Generative AI platforms.
The ideal candidate will design implement and manage scalable AWS environments build secure enterprise data platforms and support GenAI solution integration. This role requires deep hands-on experience across cloud infrastructure data engineering governance and AI integration.
Key Responsibilities
- Design deploy and manage AWS infrastructure using Terraform and CloudFormation (Infrastructure as Code).
- Build and manage enterprise Data Lakehouse architectures using Amazon S3 (including S3 Tables) and Apache Iceberg.
- Implement centralized data governance and fine-grained access control using AWS Lake Formation.
- Enable secure cross-account data sharing and metadata management.
- Deploy and optimize Trino for distributed SQL analytics.
- Administer and optimize Amazon RDS (MySQL PostgreSQL Oracle SQL Server) and Amazon Redshift clusters (WLM query tuning HA/DR).
- Implement serverless automation using AWS Lambda and support CI/CD pipelines.
- Design secure VPC architectures networking configurations and enforce IAM least-privilege access models.
- Implement monitoring logging and alerting using Amazon CloudWatch.
- Support enterprise Generative AI solutions using AWS Bedrock including Retrieval-Augmented Generation (RAG) architectures.
Qualifications :
Cloud & DevOps
- Strong experience with AWS services: EC2 EKS EMR S3 IAM VPC Lambda CloudWatch
- Expertise in Terraform and AWS CloudFormation
- CI/CD pipeline implementation and automation
Data & Lakehouse
- AWS Lake Formation (data governance fine-grained access control data catalog)
- Apache Iceberg (schema evolution partitioning ACID transactions)
- Trino distributed query engine
- Data lake design and ETL/ELT architecture
Databases & Data Warehousing
- Amazon RDS (HA setup backups replication performance tuning)
- Amazon Redshift (WLM query optimization data modeling)
GenAI & AI Platforms
- AWS Bedrock integration
- Retrieval-Augmented Generation (RAG) implementation
- Prompt engineering and AI security best practices
Security & Networking
- VPC architecture private endpoints security groups
- IAM roles RBAC encryption at rest and in transit
Preferred Qualifications
- AWS Certifications (Solutions Architect DevOps Engineer Data Analytics AI Specialty)
- Experience working in enterprise or regulated environments
- Cloud cost optimization experience
Candidate Profile
The ideal candidate is a hands-on senior cloud engineer capable of operating across Infrastructure Data Engineering Governance Analytics and Generative AI platforms. Strong problem-solving skills automation mindset and enterprise architecture experience are essential.
Additional Information :
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race color ancestry religion (including religious dress and grooming standards) sex (including pregnancy childbirth or related medical conditions breastfeeding or related medical conditions) gender (including a persons gender identity gender expression and gender-related appearance and behavior whether or not stereotypically associated with the persons assigned sex at birth) age national origin sexual orientation medical condition marital status (including domestic partnership status) physical disability mental disability medical condition genetic information protected medical and family care leave Civil Air Patrol status military and veteran status or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.
Western Digital thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience we anticipate that the application deadline will be 04/27/2026 (3 months from posting) although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline we will update this posting with a new anticipated application deadline.
#LI-AS1
Compensation & Benefits Details
Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests please report it immediately to WD Ethics Helpline or email .
Remote Work :
No
Employment Type :
Full-time
We are seeking an experienced AWS Cloud Data Administrator with strong expertise in Cloud Infrastructure Data Lakehouse architecture Data Governance and Generative AI platforms.The ideal candidate will design implement and manage scalable AWS environments build secure enterprise data platforms and s...
We are seeking an experienced AWS Cloud Data Administrator with strong expertise in Cloud Infrastructure Data Lakehouse architecture Data Governance and Generative AI platforms.
The ideal candidate will design implement and manage scalable AWS environments build secure enterprise data platforms and support GenAI solution integration. This role requires deep hands-on experience across cloud infrastructure data engineering governance and AI integration.
Key Responsibilities
- Design deploy and manage AWS infrastructure using Terraform and CloudFormation (Infrastructure as Code).
- Build and manage enterprise Data Lakehouse architectures using Amazon S3 (including S3 Tables) and Apache Iceberg.
- Implement centralized data governance and fine-grained access control using AWS Lake Formation.
- Enable secure cross-account data sharing and metadata management.
- Deploy and optimize Trino for distributed SQL analytics.
- Administer and optimize Amazon RDS (MySQL PostgreSQL Oracle SQL Server) and Amazon Redshift clusters (WLM query tuning HA/DR).
- Implement serverless automation using AWS Lambda and support CI/CD pipelines.
- Design secure VPC architectures networking configurations and enforce IAM least-privilege access models.
- Implement monitoring logging and alerting using Amazon CloudWatch.
- Support enterprise Generative AI solutions using AWS Bedrock including Retrieval-Augmented Generation (RAG) architectures.
Qualifications :
Cloud & DevOps
- Strong experience with AWS services: EC2 EKS EMR S3 IAM VPC Lambda CloudWatch
- Expertise in Terraform and AWS CloudFormation
- CI/CD pipeline implementation and automation
Data & Lakehouse
- AWS Lake Formation (data governance fine-grained access control data catalog)
- Apache Iceberg (schema evolution partitioning ACID transactions)
- Trino distributed query engine
- Data lake design and ETL/ELT architecture
Databases & Data Warehousing
- Amazon RDS (HA setup backups replication performance tuning)
- Amazon Redshift (WLM query optimization data modeling)
GenAI & AI Platforms
- AWS Bedrock integration
- Retrieval-Augmented Generation (RAG) implementation
- Prompt engineering and AI security best practices
Security & Networking
- VPC architecture private endpoints security groups
- IAM roles RBAC encryption at rest and in transit
Preferred Qualifications
- AWS Certifications (Solutions Architect DevOps Engineer Data Analytics AI Specialty)
- Experience working in enterprise or regulated environments
- Cloud cost optimization experience
Candidate Profile
The ideal candidate is a hands-on senior cloud engineer capable of operating across Infrastructure Data Engineering Governance Analytics and Generative AI platforms. Strong problem-solving skills automation mindset and enterprise architecture experience are essential.
Additional Information :
Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race color ancestry religion (including religious dress and grooming standards) sex (including pregnancy childbirth or related medical conditions breastfeeding or related medical conditions) gender (including a persons gender identity gender expression and gender-related appearance and behavior whether or not stereotypically associated with the persons assigned sex at birth) age national origin sexual orientation medical condition marital status (including domestic partnership status) physical disability mental disability medical condition genetic information protected medical and family care leave Civil Air Patrol status military and veteran status or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.
Western Digital thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.
Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Based on our experience we anticipate that the application deadline will be 04/27/2026 (3 months from posting) although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline we will update this posting with a new anticipated application deadline.
#LI-AS1
Compensation & Benefits Details
Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests please report it immediately to WD Ethics Helpline or email .
Remote Work :
No
Employment Type :
Full-time
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