Sr. AWS Data Architect (Remote)

Core Responsibilities

• Define and maintain the end-to-end blueprint for enterprise data platforms, encompassing ingestion, storage (Data Lakes/Warehouses), processing, and visualization.
• Serve as the lead engineer on high-priority initiatives. Architect and build complex transformation frameworks using Python/PySpark and Apache Airflow.
• Lead enterprise-scale database modernization and migration programs, utilizing AWS DMS and schema conversion tools to transform legacy on-premise workflows into scalable, cloud-native AWS patterns.
• Own the performance, scalability, and cost-efficiency of our data environments. Perform deep-dive query optimization and resource tuning across Redshift, Athena, and EMR.
• Lead technical planning (including PI planning), conduct architecture and code reviews, and provide direct technical liaison services to client architects. Ensure seamless delivery in complex, multi-vendor ecosystems.

Technical Requirements

• AWS Ecosystem: Expert-level proficiency with AWS Glue, Redshift, Aurora, EMR (Spark/Hadoop), S3, Athena, Kinesis, and Lambda.
• Engineering Rigor: Mastery of SQL, advanced data modeling (relational and non-relational), and development of production-grade data pipelines using Python/PySpark.
• Orchestration: Hands-on experience architecting and managing complex, mission-critical workflows in Apache Airflow.
• Migration Experience: Proven track record of executing end-to-end data migration strategies and large-scale database modernization projects.
• Leadership & Delivery: Exceptional experience leading large, cross-functional teams in Agile environments. Proven ability to navigate multi-vendor landscapes and influence technical strategy with client stakeholders from design through to production go-live.

Tone

Used more professional and authoritative language ("serve as the primary technical authority," "technical liaison services") suitable for a high-level architect role.

Key Refinements Made

• Fixed "data molarization" to "data modernization."
• Explicitly added the requirement for managing multi-vendor environments and interfacing with client architects, ensuring this is highlighted as a core competency.

Disclaimer

The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.