AWS Data Architect

We are looking for a senior, hands-on AWS Data Architect to design, build, and govern enterprise-scale data platforms on AWS. This is a player-coach role: you will define the architecture, contribute to development, mentor engineers, and interact directly with CTO-level stakeholders., * Define and own end-to-end data architecture on AWS (ingestion, storage, transformation, consumption)

• Design scalable, secure lakehouse and modern data stack solutions for batch and real-time processing
• Build and optimize ETL/ELT pipelines using AWS Glue, EMR, Lambda, Step Functions, PySpark, SQL and Python
• Implement data governance, cataloging, lineage and security (IAM, Lake Formation, row-level security)
• Optimize pipeline performance and cost, and improve Redshift and S3 query performance
• Lead migrations of legacy platforms (on-prem, Hadoop, Tableau) to AWS
• Build dashboards, reusable templates and AI-powered reporting in Amazon QuickSight / Quick Suite
• Lead design reviews and mentor data engineers

• 15+ years of overall IT experience
• 6+ years of hands-on AWS Data Architecture experience
• 9+ years of Data Engineering experience
• Strong expertise in S3, Glue, Redshift, EMR, Lambda and Step Functions
• Advanced SQL, PySpark and Python skills
• Strong knowledge of data lake / lakehouse architecture and data modeling
• Excellent communication skills with proven CTO-level interaction

Nice to Have

• Experience with Amazon QuickSight / Quick Suite
• Streaming experience (Kinesis / Kafka)
• dbt, Airflow, Snowflake
• AWS certifications (Solutions Architect, Data Analytics Specialty), Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.