Senior Cloud Database Engineer

Position : Senior Data Lake Engineer Location : Dallas, TX(Remote) Work Type : C2C Experience : 15+ Years PETADATA is seeking a seasoned Senior Data Lake Engineer with over 15 years of experience in data engineering and a strong focus on building and managing AWS-native Data Lake solutions. The ideal candidate will have deep expertise with AWS Lake Formation, serverless data processing using Lambda and Python, and experience with AI-assisted development tools such as Amazon Q. This role requires strong hands-on skills in AWS Glue, DynamoDB, and building secure, scalable, and automated data platforms that support advanced analytics and machine learning use cases. Roles & Responsibilities : Data Lake Architecture : Design, build, and optimize scalable, secure data lakes using AWS Lake Formation and best practices for data governance, cataloging, and access control.

Serverless Development : Build and deploy AWS Lambda functions using Python for real-time data processing, automation, and event-driven workflows.

ETL / ELT Pipelines : Develop and maintain robust data pipelines using AWS Glue, integrating data from various structured and unstructured sources.

AI Tools for Development : Leverage AI-powered coding tools (such as Amazon Q, GitHub Copilot, or similar) to increase development speed, code quality, and automation.

Database Integration : Design and implement integrations between the Data Lake and DynamoDB, optimizing for performance, scale, and consistency.

Security & Compliance : Implement fine-grained access control using Lake Formation, IAM policies, encryption, and data masking techniques to meet enterprise and compliance standards (e.g., GDPR, HIPAA).

Monitoring & Optimization : Implement logging, monitoring, and performance tuning for Glue jobs, Lambda functions, and data workflows.

Collaboration & Leadership : Collaborate with cross-functional teams including data science, analytics, DevOps, and product teams. Provide mentorship and technical leadership to junior engineers.

Required Skills :

• Experience : 15+ years in data engineering roles, with 5+ years focused on AWS-native data lake development.
• Cloud Expertise : Deep, hands-on expertise in AWS Lake Formation, Glue, Lambda, and DynamoDB.
• Programming : Proficient in Python, especially for serverless and data processing applications.
• AI Coding Tools : Experience using AI-assisted development tools (e.g., Amazon Q, GitHub Copilot, AWS CodeWhisperer).
• Security : Strong knowledge of data security practices in AWS, including IAM, encryption, and compliance standards.
• Orchestration & Automation : Experience with workflow orchestration tools such as Step Functions, Airflow, or custom AWS-based solutions.
• Soft Skills : Strong communication, problem-solving, and collaboration skills. Able to lead discussions on architecture and best practices.

Preferred Skills :

Education :

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

We offer a professional work environment and provide every opportunity for growth in the Information technology world.

Note : Candidates are required to attend Phone / video calls and in-person interviews. After the Selection, the candidate (He / She) should undergo all background checks on Education and Experience.