Experienced AWS Solutions Architect, Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Create comprehensive end-to-end AWS cloud solutions that meet business, security, performance, and cost objectives.

• Develop target-state architectures for the purposes of cloud migration, modernization, and the development of new applications.

• Design scalable data platforms that encompass ingestion, storage, transformation, governance, and consumption layers.

• Establish enterprise data models, data standards, metadata practices, and strategies for data lifecycle management.

• Lead architecture reviews while offering technical guidance to application, infrastructure, and data teams.

• Set up secure connectivity patterns, identity management, encryption, logging, monitoring, and auditability procedures.

• Design robust multi-account AWS environments utilizing Organizations, Control Tower, and landing zone principles.

• Assess and recommend AWS services including EC2, ECS, EKS, Lambda, RDS, Aurora, DynamoDB, S3, Glue, Lake Formation, Redshift, Kinesis, and Athena.

• Collaborate with engineering, analytics, security, and operations teams to convert requirements into scalable solutions.

• Define integration patterns for APIs, event-driven systems, batch processing, and real-time data streams.

• Develop technical standards, reference architectures, and reusable design patterns.

• Enhance architectures for reliability, performance, operational excellence, security, and cost-effectiveness.

• Support initiatives related to data governance, master data management, data quality, lineage, and compliance.

• Mentor teams and influence architectural decision-making throughout the organization.

• Engage in roadmap planning, vendor assessments, and discussions regarding cloud/data strategy.

⛳️ Requirements

• Over 8 years of experience in cloud, solutions architecture, data architecture, or similar technical leadership roles.

• Extensive hands-on experience in designing and implementing AWS-based architectures.

• Comprehensive understanding of networking, security, IAM, compute, storage, database, and integration services within AWS.

• Demonstrated experience with enterprise data architecture, including data warehousing, data lakes, and data governance.

• Familiarity with contemporary data engineering patterns, ELT/ETL processes, streaming, and batch pipelines.

• Knowledge of both relational and non-relational databases, dimensional modeling, and metadata management practices.

• Experience with infrastructure as code and CI/CD methodologies.

• Background working in regulated or enterprise settings with security and compliance obligations.

• Preferred AWS certifications include Solutions Architect Professional, Data Analytics, or related credentials.

🏝️ Benefits

• Opportunities for professional development.

• Support for AWS certifications.