AWS Cloud Architect
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-08-30
Listing for:
Compunnel, Inc.
Full Time
position Listed on 2026-08-30
Job specializations:
-
IT/Tech
AWS, Cloud Computing: Infrastructure & Operations, Data Engineering
Job Description & How to Apply Below
We are seeking an experienced AWS Cloud Architect to help design and build next-generation cloud data lakes and modern data platforms. The role will focus on delivering scalable, secure, high-performing, and cost-effective cloud data solutions that support analytics, digital products, and AI-enabled capabilities. The ideal candidate will have strong hands-on experience with AWS database and data services, cloud modernization, migration, architecture, automation, security, and data platform optimization.
Key Responsibilities- Design and document AWS cloud database architectures supporting performance, scalability, availability, security, governance, and cost optimization requirements.
- Lead modernization and migration of legacy on-premises databases and data platforms to AWS cloud services.
- Architect and optimize data solutions using AWS services including Amazon RDS, Amazon Aurora, Amazon Redshift, Amazon DynamoDB, Amazon S3, AWS Glue, Amazon Athena, and AWS Database Migration Service.
- Define database patterns for transactional, analytical, integration, and reporting workloads, including OLTP, OLAP, and data lake environments.
- 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 addressed.
- 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 database performance tuning and optimization through data modeling, indexing, partitioning, query tuning, workload management, capacity planning, and observability.
- 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 cloud architecture designs developed by vendors and solution partners and provide technical recommendations.
- Evaluate and recommend emerging technologies supporting cloud data platform modernization and AI-enabled business initiatives.
- 3+ years of hands-on experience designing and implementing AWS cloud database architectures.
- Strong hands-on experience with AWS.
- Strong hands-on experience with Amazon Aurora.
- Strong hands-on experience with Amazon DynamoDB.
- Strong hands-on experience with AWS Glue.
- Experience designing scalable, highly available, secure, and cost-effective cloud data solutions.
- Experience leading or supporting migration of on-premises databases and data platforms to AWS.
- Experience with AWS data services including Amazon RDS, Amazon Redshift, Amazon S3, Amazon Athena, and AWS Database Migration Service.
- Experience with database architecture, data modeling, performance tuning, indexing, partitioning, query optimization, and capacity planning.
- Experience implementing security, IAM, encryption, auditing, logging, access controls, and governance for cloud data platforms.
- Experience developing migration plans, cutover strategies, rollback plans, validation approaches, and post-migration optimization activities.
- Experience with automation, infrastructure as code, CI/CD, and repeatable deployment practices.
- Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
- Experience with AI-enabled data platforms and business initiatives.
- Experience with cloud data lake and modern data platform architectures.
- Experience with AWS Redshift, S3, Athena, RDS, and Database Migration Service.
- Experience with infrastructure as code and cloud automation tools.
- Experience working with vendors and solution partners on enterprise cloud architecture initiatives.
- AWS certifications are a plus.
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