Tata Consultancy Services
Technical Architect
Tata Consultancy Services, Charlotte, North Carolina, United States, 28245
Role: Senior Solution Architect (AWS)
Minimum of 10 years of hands-on solution architecture experience in AWS.Proven data architecture experience with a focus on ML model training architectures.Experience in conducting Architecture Review Boards and managing architecture repositories.Experience in building web applications using Angular.Proficiency in Java and Python programming.Skills:
Strong understanding of AWS services and best practices.Ability to create and implement POCs independently.Excellent communication and collaboration skills.Knowledge of AWS Well-Architected Framework. o Experience in architecting application deployed in Pivotal Cloud Foundry.Established profile in building Event driven, Distributed Serverless architecture in AWS cloud.Preferred Qualifications:
Multi Cloud architecture experience is a plus.Experience with AWS Sage Maker and Bedrock.Certification in enterprise architecture frameworks such as TOGAF. Previous experience in a similar role within Insurance domain.Experience Required:
Senior Solution Architect will be responsible for designing and implementing robust, scalable, and secure solutions in AWS.The ideal candidate will have a strong background in solution and data architecture, with experience in machine learning model training architectures. They will work as an individual contributor to create Proof of Concepts (POCs) on the cloud and collaborate with various teams to ensure the solutions align with business objectives and technical standards.Responsibilities:
Solution Architecture:
Design and implement solution architectures on AWS.Develop and maintain architecture documentation and repositories.Conduct Architecture Review Boards to ensure compliance with architectural standards.Data Architecture & Machine Learning:
Architect data solutions with a focus on machine learning model training. Collaborate with data science teams to integrate ML models into cloud-based solutions.Proof of Concept (POC) Development:
Independently create POCs on AWS to demonstrate new capabilities and solutions.Evaluate and recommend new tools and technologies.Enterprise Architecture & Frameworks:
Utilize enterprise architecture frameworks like TOGAF to develop strategic roadmaps.Ensure solutions adhere to AWS Well-Architected Framework best practices.
#LI-NR3
Minimum of 10 years of hands-on solution architecture experience in AWS.Proven data architecture experience with a focus on ML model training architectures.Experience in conducting Architecture Review Boards and managing architecture repositories.Experience in building web applications using Angular.Proficiency in Java and Python programming.Skills:
Strong understanding of AWS services and best practices.Ability to create and implement POCs independently.Excellent communication and collaboration skills.Knowledge of AWS Well-Architected Framework. o Experience in architecting application deployed in Pivotal Cloud Foundry.Established profile in building Event driven, Distributed Serverless architecture in AWS cloud.Preferred Qualifications:
Multi Cloud architecture experience is a plus.Experience with AWS Sage Maker and Bedrock.Certification in enterprise architecture frameworks such as TOGAF. Previous experience in a similar role within Insurance domain.Experience Required:
Senior Solution Architect will be responsible for designing and implementing robust, scalable, and secure solutions in AWS.The ideal candidate will have a strong background in solution and data architecture, with experience in machine learning model training architectures. They will work as an individual contributor to create Proof of Concepts (POCs) on the cloud and collaborate with various teams to ensure the solutions align with business objectives and technical standards.Responsibilities:
Solution Architecture:
Design and implement solution architectures on AWS.Develop and maintain architecture documentation and repositories.Conduct Architecture Review Boards to ensure compliance with architectural standards.Data Architecture & Machine Learning:
Architect data solutions with a focus on machine learning model training. Collaborate with data science teams to integrate ML models into cloud-based solutions.Proof of Concept (POC) Development:
Independently create POCs on AWS to demonstrate new capabilities and solutions.Evaluate and recommend new tools and technologies.Enterprise Architecture & Frameworks:
Utilize enterprise architecture frameworks like TOGAF to develop strategic roadmaps.Ensure solutions adhere to AWS Well-Architected Framework best practices.
#LI-NR3