Senior AWS Cloud & Data Platform Architect

Incedo Inc.; California; Hybrid; USD 180,000 - 260,000; Full time

Job summary

Incedo Inc. is seeking a Lead AWS Cloud & Data Architect to own the AWS data platform end-to-end, including databases, data models, ingestion pipelines, and security.

This hands-on leadership role requires moving from architecture discussions to implementation, troubleshooting, and deployment with cross-functional teams. The role combines technical ownership with mentoring, design reviews, and production-ready data services, driving scalable, observable, and secure data solutions for client

Qualifications

• 10+ years in Cloud, Data Engineering, or Solution Architecture.
• Hands-on AWS experience with database and data services (RDS/Aurora, S3, Glue, DMS).
• Strong SQL, data modeling, and performance tuning.
• Experience with Terraform or equivalent IaC.
• Experience with Apache Airflow / MWAA.
• Ability to lead technically while mentoring engineers.

Responsibilities

• Own end-to-end AWS data platform architecture and development.
• Design scalable, secure, highly available AWS-native database solutions.
• Lead database design, schema development, data modeling, indexing, partitioning, and performance optimization.
• Define database standards, naming conventions, data access patterns, and lifecycle management.
• Lead backup, recovery, high availability, and disaster recovery strategies.
• Mentor developers and data engineers; conduct reviews and code quality checks.
• Collaborate with security, DevOps, and client stakeholders on architecture decisions.

Skills

AWS

Data architecture

ETL pipelines

SQL / data modeling

Terraform

Airflow / MWAA

Security & IAM

DMS / data migration

Big data / data lakes

Tools

Terraform

Apache Airflow/MWAA

AWS Glue

AWS DMS

S3

RDS/Aurora

Job description

Incedo Inc. is seeking a Lead AWS Cloud & Data Architect to own the AWS data platform end-to-end, including databases, data models, ingestion pipelines, and security.

This hands-on leadership role requires moving from architecture discussions to implementation, troubleshooting, and deployment with cross-functional teams. The role combines technical ownership with mentoring, design reviews, and production-ready data services, driving scalable, observable, and secure data solutions for client