Dedicated to Making Analytics Actionable and Accessible
Experienced AWS Solutions Architect, Data Architect
Location
United States
Posted
3 days ago
Salary
0
Seniority
Lead
Job Description
Experienced AWS Solutions Architect, Data Architect
Kaizen Analytix
• Design end-to-end AWS cloud solutions aligned with business, security, performance, and cost requirements • Develop target-state architectures for cloud migration, modernization, and new application development • Architect scalable data platforms, including ingestion, storage, transformation, governance, and consumption layers • Define enterprise data models, data standards, metadata practices, and data lifecycle management approaches • Lead architecture reviews and provide technical guidance across application, infrastructure, and data teams • Establish patterns for secure connectivity, identity management, encryption, logging, monitoring, and auditability • Design resilient multi-account AWS environments using Organizations, Control Tower, and landing zone principles • Evaluate and recommend AWS services such as EC2, ECS, EKS, Lambda, RDS, Aurora, DynamoDB, S3, Glue, Lake Formation, Redshift, Kinesis, and Athena • Partner with engineering, analytics, security, and operations teams to translate requirements into scalable solutions • Define integration patterns for APIs, event-driven systems, batch processing, and real-time data flows • Create technical standards, reference architectures, and reusable design patterns • Optimize architectures for reliability, performance, operational excellence, security, and cost • Support data governance, master data management, data quality, lineage, and compliance initiatives • Mentor teams and influence architectural decision-making across the organization • Participate in roadmap planning, vendor evaluation, and cloud/data strategy discussions
Job Requirements
- 8+ years of experience in cloud, solutions architecture, data architecture, or related technical leadership roles
- Strong hands-on experience designing and delivering AWS-based architectures
- Deep understanding of networking, security, IAM, compute, storage, database, and integration services in AWS
- Proven experience with enterprise data architecture, including data warehousing, data lakes, and data governance
- Experience with modern data engineering patterns, ELT/ETL, streaming, and batch pipelines
- Knowledge of relational and non-relational databases, dimensional modeling, and metadata management
- Familiarity with infrastructure as code and CI/CD practices
- Experience working in regulated or enterprise environments with security and compliance requirements
- AWS certifications such as Solutions Architect Professional, Data Analytics, or related certifications preferred
Benefits
- Professional development
- AWS certifications
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