Big Data Architect

Infosys•Milpitas, CA

21h

About The Position

In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below: ⦁ Participate in customer discussions to gather and analyze system requirements for performance, security and scalability. ⦁ Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation ⦁ Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options ⦁ Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions ⦁ Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy ⦁ Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases ⦁ Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape ⦁ Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository Your contribution to the team: ⦁ The ability to analyse, design, and develop scalable and secure architectures. ⦁ A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions. ⦁ Understanding of integration methodologies, proof-of-concept validation and deployment strategies. ⦁ The ability to document architectural frameworks and solutions. ⦁ Proactive communication with internal teams and clients, ensuring alignment with business objectives. ⦁ A knack to keep with up technical advancements to ensure relevant and effective recommendations. ⦁ The ability to maintain standards and ensure smooth transition through knowledge transfer

Requirements

Data Engineering, including building scalable ETL/ELT pipelines (batch and real-time) using Spark, Kafka, and SQL
experience with large-scale distributed data platforms (Hadoop, Spark, Trino, Pinot, Iceberg) handling high-volume data workloads
Proven capability in designing high-performance, reliable, and scalable data architectures across cloud environments (AWS – S3, EC2, Glue, IAM)
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
All applicants authorized to work in the United States are encouraged to apply.

Nice To Haves

Add details about Key Technical and Domain Skills

Responsibilities

Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation.
Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options.
Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions.
Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy.
Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases.
Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape.
Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository.