Sr. Spark Architect

About the position

Infosys is seeking a Spark Senior Technology Architect. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Responsibilities

• Enable digital transformation for clients in a global delivery model.
• Research on technologies independently and recommend appropriate solutions.
• Contribute to technology-specific best practices and standards.
• Provide inputs for identifying best-fit architectural solutions for projects.
• Develop design of applications.
• Provide regular support and guidance to project teams on complex coding and issue resolution.
• Ensure best-fit and high-quality technical solutions in compliance with guidelines, policies, and norms.

Requirements

• Candidate must be located within commuting distance of Newport, NJ or be willing to relocate to the area.
• Bachelor's degree or foreign equivalent required from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.
• At least 11 years of Information Technology experience.
• Deep experience in architecting Big Data solutions using Hadoop, Spark, Hive, Kafka, Scala.
• In-depth knowledge of the Hadoop ecosystem.
• Data background with knowledge on data warehouse, ETL, reporting.
• Good experience in end-to-end implementation of data warehouse and data marts.
• Experience with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads.
• Experience designing and implementing complex solutions for distributed systems.
• Experience in leading and mentoring teams.

Nice-to-haves

• Good understanding of data integration, data quality, and data architecture.
• Experience in Relational Modeling, Dimensional Modeling, and Modeling of Unstructured Data.
• Strong knowledge and hands-on experience in SQL, Unix shell scripting.
• Good understanding of Agile software development frameworks.
• Strong communication and analytical skills.
• Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams.
• Experience and desire to work in a global delivery environment.