Lead Data Engineer - AWS

Tiger Analytics Inc. • Dallas, TX

1d

About The Position

Tiger Analytics is seeking an experienced Senior Data Engineer to build scalable Generative AI architectures within the AWS ecosystem. The role involves architecting data foundations that power LLMs and autonomous agents for Fortune 500 partners. It offers an opportunity for significant career development in a fast-growing, challenging entrepreneurial environment with a high degree of individual responsibility.

Requirements

• 8–12 years of experience in Data Engineering, with a strong focus on the AWS Cloud stack.
• Deep hands-on experience with AWS Glue, Athena, EMR, and Redshift.
• Proficiency with LangChain or LlamaIndex integrated with AWS services to handle unstructured data, including text, images, and PDFs.
• Experience deploying infrastructure using AWS CDK or Terraform.
• Advanced SQL, Python, and PySpark skills for distributed processing on AWS.

Responsibilities

• Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications.
• Implement and optimize vector search capabilities using Amazon OpenSearch Serverless or specialized vector engines for Retrieval-Augmented Generation (RAG).
• Build scalable, event-driven ETL pipelines using AWS Lambda, AWS Glue, and Amazon Kinesis.
• Manage large-scale data lakehouses using Amazon S3, AWS Lake Formation, and Amazon Redshift.
• Integrate AWS Step Functions and SageMaker Pipelines to automate fine-tuning and deployment of foundation models.

What This Job Offers

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