About the Role

Senior Data Engineer role at Amazon's WW FBA Central Analytics team, focusing on architecting scalable data infrastructure and integrating LLM-powered solutions. Responsibilities include building a Data Lakehouse, migrating from Redshift, and implementing vector databases for AI retrieval.

Key Responsibilities

• Architect and implement a scalable S3-based Data Lakehouse
• Lead migration from Redshift to a lakehouse model
• Design centralized metrics repository and data quality frameworks
• Architect globally distributed vector database infrastructure
• Establish automated compliance validation frameworks

Required Skills & Qualifications

Must Have:

• 7+ years of data engineering experience with distributed systems
• Deep technical knowledge of AWS data services (Glue, Kinesis, Redshift, S3, Lambda)
• Proven experience designing enterprise Data Lakehouse architectures
• Strong programming skills in Python and/or Scala with distributed data processing frameworks

Nice to Have:

• Experience architecting data platforms optimized for AI/ML workloads
• Hands-on experience with vector databases at production scale
• Deep knowledge of LLM integration patterns and retrieval optimization techniques