Application Architect - Aws Cloud

Your role and responsibilities

As an Application Architect specializing in AWS Cloud, you will analyze and translate IT requirements into components of a modernized solution using modernization frameworks. You will leverage your expertise in legacy asset analysis, code restructuring, and refactoring to deliver solutions.

Your primary responsibilities will include:

Analyze Legacy Assets: Analyze and assess legacy platforms, identifying opportunities for modernization and integration with cloud environments. This includes code restructuring, refactoring, and business logic extraction into executable business rules.

Design Modernized Solutions: Translate IT requirements into components of a modernized solution using modernization frameworks, ensuring effective integration and service exposure mechanisms.

Develop Cloud Applications: Participate in the development and testing of applications in cloud environments, utilizing knowledge of AWS ECS, AWS Lambda functions, Elastic Cache, and S3 objects.

Enhance Digital Assets: Reuse and enhance digital modernization assets, methods, and collateral to drive efficient solution delivery.

Collaborate with Teams: Work collaboratively as part of Delivery/Engagement teams to ensure successful solution implementation.

Required education

Bachelor's Degree

Required technical and professional expertise

Legacy Asset Analysis: Exposure to analyzing and assessing legacy platforms, identifying opportunities for modernization and integration with cloud environments, including code restructuring and refactoring.

Modernization Frameworks: Experience working with modernization frameworks to translate IT requirements into components of a modernized solution, ensuring effective integration and service exposure mechanisms.

Cloud Application Development: Exposure to developing and testing applications in cloud environments, utilizing knowledge of AWS ECS, AWS Lambda functions, Elastic Cache, and S3 objects.

Code Restructuring: Experience working with code restructuring, refactoring, and business logic extraction into executable business rules.

Digital Asset Enhancement: Exposure to reusing and enhancing digital modernization assets, methods, and collateral to drive efficient solution delivery.

Experience:;8+ years in data engineering or architecture, with at least 3-5 years specifically hands-on with AWS ;cloud environments.

AWS Stack:;Deep expertise in AWS analytics and database services, including Amazon Redshift, Glue, S3, Lambda, RDS, and EMR.

Programming Tools:;Proficiency in SQL, Python, and data modeling tools. Experience with orchestration tools (like Apache Airflow) and lakehouse technologies (dbt, Iceberg).;

Data Governance:;Strong understanding of metadata management, data lineage, and privacy frameworks.

Projects: Must have successfully delivered ONE end to end Datalakehouse project on AWS.

Preferred technical and professional experience

Familiarity with Legacy Platforms: Exposure to one or more legacy platforms, including integration and service exposure mechanisms to interface components for reuse by Systems of Engagement.

Knowledge of Cloud Environments: Familiarity with development and testing of applications in cloud environments, utilizing knowledge of AWS ECS, AWS Lambda functions, Elastic Cache, and S3 objects.

Digital Modernization Assets: Exposure to reusing and enhancing digital modernization assets, methods, and collateral to drive efficient solution delivery.

Years of Experience:
8 to 16