AWS Data Architect

Key Responsibilities:

• Design and implement enterprise-grade data lake and data warehouse solutions using:
  • AWS Glue
  • Amazon S3
  • Amazon Redshift
  • Amazon Athena
  • AWS Lambda
• Develop scalable ETL/ELT pipelines using PySpark and Python
• Architect workflow orchestration using Apache Airflow
• Build infrastructure using Infrastructure-as-Code with Terraform
• Design data models optimized for analytics and reporting
• Implement performance tuning strategies for Redshift and large-scale SQL workloads
• Ensure data governance, security, and compliance across AWS environments
• Collaborate with engineering, analytics, and DevOps teams to deliver enterprise data solutions
• Optimize cost and performance of AWS cloud data infrastructure

Required Qualifications

• 10+ years of experience in data engineering or data architecture
• Strong hands-on experience with:
  • AWS Glue, S3, Redshift, Athena, Lambda
  • Apache Airflow
  • Terraform
  • PySpark
  • Python
  • Advanced SQL
• Experience designing cloud-native data lake architectures
• Knowledge of distributed computing and big data processing
• Experience with CI/CD and DevOps practices in AWS