Big Data Architect

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

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, 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.

• This position may require relocation and/or travel to work/project location.
• All applicants authorized to work in the United States are encouraged to apply.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem., The Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive continuous improvement, enhance delivery processes, and accelerate time to market. Join us to be part of a team that is at the forefront of engineering innovation, delivering intelligent insights and empowering stakeholders to achieve hyper-productivity and sustainable growth.