Senior Data Lake Architect (AWS Lake Formation) – Remote

PETADATA; Dallas (TX); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Professional work environment

Opportunities for growth

Job summary

A leading technology company is seeking a Senior Data Lake Engineer with over 15 years of experience in data engineering. The ideal candidate will have strong skills in AWS services such as Lake Formation, Glue, and Lambda, focusing on building scalable data lake solutions. Responsibilities include designing data lakes, developing data pipelines, and leading cross-functional projects. Candidates should be proficient in Python and experienced with AI-assisted development tools. This position offers remote work options and is critical to supporting advanced analytics and machine learning initiatives.

Qualifications

• 15+ years in data engineering roles, with 5+ years focused on AWS-native data lake development.
• Deep expertise in AWS Lake Formation, Glue, Lambda, and DynamoDB.
• Proficient in Python for serverless applications.

Responsibilities

• Design, build, and optimize scalable, secure data lakes using AWS Lake Formation.
• Build and deploy AWS Lambda functions using Python for data processing.
• Develop and maintain robust data pipelines using AWS Glue.

Skills

Data Engineering

AWS Lake Formation

Python

Serverless Development

AI Coding Tools

Data Security

Collaboration

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

AWS Glue

DynamoDB

AWS Lambda

AI Tools

Job description

A leading technology company is seeking a Senior Data Lake Engineer with over 15 years of experience in data engineering. The ideal candidate will have strong skills in AWS services such as Lake Formation, Glue, and Lambda, focusing on building scalable data lake solutions. Responsibilities include designing data lakes, developing data pipelines, and leading cross-functional projects. Candidates should be proficient in Python and experienced with AI-assisted development tools. This position offers remote work options and is critical to supporting advanced analytics and machine learning initiatives.