AWS Cloud Architect: Modern Data Lakes & AI-Ready Platform

Compunnel Inc.; McLean (VA); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Compunnel, Inc. is seeking an experienced AWS Cloud Architect in the McLean, VA area to design scalable, secure cloud data platforms and modern data lakes. You will lead migrations from on-premises systems, define cataloged patterns, and implement automation and IaC across the stack.

The role emphasizes performance tuning, cost optimization, and governance with strong collaboration with security and analytics teams. AWS certifications are a plus.

Qualifications

• 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 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.

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.

Skills

AWS cloud architecture

Migration planning

Security & IAM

Performance tuning

Stakeholder collaboration

Tools

Amazon RDS

Amazon Aurora

Amazon Redshift

Amazon DynamoDB

Amazon S3

AWS Glue

Amazon Athena

Database Migration Service

Job description

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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.