AWS Data Analytics Architect
Saiteja ReddyUnited StatesMIDPosted 14d ago
AWS Storage GatewayAWS Lake FormationAmazon DataZoneALBNLBAWS networkingIAMdata governancecloud storagehybrid cloudcross-account AWS architecturesdata lakesmetadata/catalog managementself-service data discoverymulti-tier AWS architectures
About the Role
We are looking for an experienced AWS Data & Analytics Architect to architect and design scalable, secure, and highly available AWS analytical/data platform solutions. The candidate will translate modern business requirements into well-architected cloud solutions and drive data governance, integration, sharing, and security initiatives.
Key Responsibilities
• Architect end-to-end AWS analytical and data platform solutions aligned with business and technical requirements
• Design scalable, secure, and highly available AWS architectures following AWS Well-Architected Framework principles
• Design and implement hybrid storage integration using AWS Storage Gateway to connect on-premises environments with AWS cloud storage
• Establish centralized data governance, cataloging, and fine-grained access control using AWS Lake Formation
• Design cross-account data sharing and self-service data discovery capabilities using Amazon DataZone
• Architect secure and highly available network solutions using AWS Application Load Balancer (ALB) and Network Load Balancer (NLB)
• Design multi-tier architectures supporting analytics, data, and application workloads
• Ensure solutions meet enterprise requirements for security, scalability, availability, performance, and compliance
• Collaborate with business stakeholders, cloud engineers, data engineers, security teams, and application teams to define and implement target-state architectures
Requirements
• Strong experience in AWS Cloud Architecture and enterprise data/analytics platforms
• Hands-on expertise with AWS Storage Gateway, AWS Lake Formation, Amazon DataZone, ALB / NLB
• Strong understanding of AWS networking, security, IAM, data governance, and cloud storage
• Experience designing hybrid cloud and cross-account AWS architectures
• Strong knowledge of data lakes, data governance, metadata/catalog management, and self-service data discovery
• Experience with highly available and secure multi-tier AWS architectures