AWS Cloud Architect: Modern Data Lakes & AI- Platform

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.