AWS Data Architect

Cloudious • Torrance, CA

1d

About The Position

Design, develop, and maintain scalable data pipelines and workflows using AWS MWAA (Managed Workflows for Apache Airflow) and Apache Airflow. Implement data querying and analytics solutions using AWS Athena and Aurora databases. Build and optimize interactive dashboards and visualizations with AWS QuickSight to support business intelligence. Collaborate with cross-functional teams to translate complex business requirements into technical AWS data architectures. Ensure data quality, governance, and security compliance across data platforms. Leverage AWS services such as RDS, Redshift, AWS DMS, EMR, Glue, Lambda, S3, and Step Functions to enhance data integration and processing capabilities. Apply dimensional data modeling techniques to design efficient and scalable data warehouse schemas. Continuously evaluate and adopt emerging AWS data technologies and best practices to improve data architecture and performance.

Requirements

• AWS MWAA (Managed Workflows for Apache Airflow)
• Apache Airflow
• AWS Athena
• Aurora databases
• AWS QuickSight
• RDS
• Redshift
• AWS DMS
• EMR
• Glue
• Lambda
• S3
• Step Functions
• Dimensional data modeling techniques
• Data quality, governance, and security compliance

Responsibilities

• Lead the architecture and implementation of end-to-end AWS data solutions within the AWS Data Architecture cluster.
• Manage and optimize Apache Airflow workflows for orchestrating complex data pipelines using AWS MWAA.
• Oversee data ingestion, transformation, and storage processes, ensuring high availability and performance.
• Provide technical leadership and mentorship to junior data engineers and architects.
• Collaborate with stakeholders to define data strategy, governance policies, and compliance standards.
• Monitor and troubleshoot data workflows, addressing bottlenecks and ensuring SLAs are met.
• Drive continuous improvement initiatives focused on cost optimization, scalability, and security of AWS data environments.
• Facilitate knowledge sharing and maintain detailed documentation for data architectures and processes.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed