AWS Solution Architect

NTT DATA • Plano, TX

17h

About The Position

Design and architect AWS cloud solutions, focusing on serverless architecture using AWS Lambda and data processing using AWS Glue. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Lead the development of ETL processes using Informatica PowerCenter, ensuring seamless integration with AWS services. Implement and manage data streaming solutions using AWS Kinesis to process real-time data efficiently. Leverage Databricks for advanced data analytics and processing, optimizing and managing data pipelines to ensure efficient data transformation. Implement best practices for cloud security, scalability, and cost management. Provide technical guidance and mentorship to development teams, fostering a culture of continuous learning and improvement. Stay updated on the latest AWS services and features, evaluating their potential impact on current and future projects.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven experience as an AWS Architect, with strong expertise in AWS Lambda, AWS Glue, AWS Kinesis, and Databricks
• Hands-on experience with Informatica PowerCenter for ETL processes and data integration
• Deep understanding of cloud computing concepts, including serverless architectures, microservices, and containerization
• Strong problem-solving skills and the ability to design innovative solutions to complex challenges
• Excellent communication skills, with the ability to articulate technical concepts to non-technical stakeholders

Nice To Haves

• AWS certification (Solutions Architect or Developer) is highly desirable.

Responsibilities

• Design and architect AWS cloud solutions
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Lead the development of ETL processes using Informatica PowerCenter
• Implement and manage data streaming solutions using AWS Kinesis
• Leverage Databricks for advanced data analytics and processing
• Implement best practices for cloud security, scalability, and cost management
• Provide technical guidance and mentorship to development teams
• Stay updated on the latest AWS services and features

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level