AWS Cloud Architect

Job Title: AWS Cloud Architect

Location: McLean, VA or Memphis, TN- Hybrid onsite 3x a week
Duration: 12-months w/potential for extension

Job Description:

Must have:
AWS
AWS Aurora
AWS Dynamo DB
AWS Glue AI is a nice to have
Certs are a nice to have
Hands ON

Job Description:
Reporting to the Senior Manager, HSM Digital Solutions, you will help design and build HSM's next-generation cloud data lake and modern data platform. You will partner with business stakeholders, Hilton Technology, data engineering teams, and external vendors to deliver scalable, secure, and cost-effective cloud data solutions that support procurement analytics, digital products, and AI-powered capabilities.
Must have 3+ years experience in the following:
Design and document AWS cloud database architectures that support performance, scalability, availability, security, governance, and cost optimization requirements.
Lead the modernization and migration of legacy on-premises databases and data platforms to AWS cloud services.
Architect and optimize data solutions using AWS services such as Amazon RDS, Amazon Aurora, Amazon Redshift, Amazon DynamoDB, Amazon S3, AWS Glue, Amazon Athena, AWS Database Migration Service, and related monitoring and security services.
Define database patterns for transactional, analytical, integration, and reporting, including OLTP, OLAP, and data lake workloads.
Develop architecture standards, reference patterns, design decision records, runbooks, deployment playbooks, and operational best practices.
Ensure high availability, disaster recovery, security, governance, resiliency, and compliance requirements are met.
Develop migration plans, proof-of-concepts, cutover strategies, rollback plans, validation approaches, and post-migration optimization activities.
Partner with security and governance teams to implement encryption, IAM, network isolation, auditing, logging, data retention, access controls, and compliance requirements.
Drive performance tuning and optimization through data modeling, indexing, partitioning, query tuning, workload management, capacity planning, and observability practices.
Implement and promote automation, infrastructure as code, CI/CD, schema migration practices, and repeatable deployment patterns for database-backed solutions.
Develop dashboards and operational metrics for database health, cost, usage, SLAs, reliability, and platform performance.
Collaborate with application, integration, analytics, and reporting teams to translate business requirements into practical database and data-platform solutions.
Review and provide recommendations on cloud architecture designs developed by vendors and solution partners.
Evaluate and recommend new technologies to support cloud data platform modernization and AI-enabled business initiatives.