IBM
Website:
i2.co.uk
Company:
https://www.linkedin.com/company/ibm
Seniority: Mid-Senior level
Industries: IT Services and IT Consulting
Job details:
Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
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 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.
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