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Big Data Architect

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Infosys Limited
Full Time position
Listed on 2026-06-05
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below

Overview

The Strategic Technology Group (STG) unit at Infosys is designed for power programmers and senior technologists who want to go beyond traditional development roles and take on complex, large-scale technology challenges.

The STG unit brings together Specialist Programmers, Senior Technologists, and Technical Leaders who possess deep expertise across software design and development, cloud‑native architectures, enterprise platforms, data engineering, and emerging technologies, including generative AI and agentic AI.

Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high‑quality outcomes. They are expected to demonstrate strong technical depth, sound architectural judgment, and hands‑on leadership while mentoring teams and influencing best practices across programs.

The STG unit emphasizes software development excellence, innovation, and continuous upskilling. It offers experienced talent the opportunity to work on transformational initiatives, engage closely with stakeholders, and grow as trusted technology leaders within Infosys’ global delivery ecosystem.

Responsibilities
  • Evaluate project requirements and use cases to deliver high‑quality design frameworks and production‑ready code work products.
  • Design technology frameworks for complex scenarios, develop design patterns and reference implementations, design reusable assets and conduct design reviews.
  • Deliver high‑quality code across applications, databases, and integrations.
  • Optimize code, debug complex routines, and develop code generators and pilot implementations for reusable components, ensuring defect‑free production‑ready code.
  • Work closely with other teams to ensure alignment on project goals and technology implementations.
  • Provide technical guidance to peers and help maintain delivery consistency and code quality.
  • Identify proof of concepts (PoCs) for emerging programming and independently develop PoCs for new technologies and complex modules ensuring timely delivery.
  • Provide inputs for multi‑technology and multi‑language high‑risk deployments.
  • Evaluate and implement technical services to meet high‑quality service (QoS) requirements, ensuring alignment with business and IT key performance indicators (KPIs).
  • Create reusable assets and deliver defect‑free, impactful code to achieve quality benchmarks and Zero‑Defect Delivery.
  • Support complex projects by resolving technical challenges and reducing risk exposure.
  • Stay updated on emerging technologies and industry trends to inform decision‑making and enhance project outcomes.
  • Support test automation and execute test strategies to drive quality improvements.
Your Contribution to the Team

The ability to apply expertise in designing scalable architectures and frameworks for complex technology challenges. Bring a strategic mindset to building reusable components and ensuring high‑quality, defect‑free delivery. Share knowledge and passion for mentoring by guiding peers and fostering technical excellence across projects. The ability to assess and adopt emerging technologies, translate them into PoCs and deployment‑ready solutions. Drive performance improvements through advanced engineering practices, meeting demanding service benchmarks.

A knack for anticipating risks and resolving technical challenges, ensuring resilience and long‑term project success.

Required Skill and Experience
  • Core development experience in Scala, Python, Spark, or Hadoop application development.
  • End‑to‑end implementation of projects using Cloudera Hadoop, Spark, Hive, HBase, Sqoop, Kafka, Elasticsearch, Grafana, and the ELK stack.
  • AI‑Powered Intelligent Data Integration & Transformation experience, including expertise in AI‑powered data lakes.
  • Proven experience in architecting and administering Snowflake, Azure, and Google Big Data platforms.
  • Strong understanding of cloud infrastructure, data integration, and analytics workflows.
  • Experience in categorizing, cataloging, cleansing, and normalizing datasets.
  • Hands‑on experience with platform monitoring, automation, and Dev Ops tools.
  • Experience managing hybrid environments (on‑prem and cloud).
  • Excellen…
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