Big Data Architect

Infosys•Raleigh, NC

About The Position

In the assigned Job Role of Senior Technologist, your Area Of Responsibility will be as below: 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 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. Overview The Infosys Cloud unit is dedicated to empowering enterprises with innovative cloud solutions that drive digital transformation and operational excellence. We specialize in leveraging advanced cloud technologies and AI-driven insights to create scalable, secure, and resilient infrastructures. Our solutions enable organizations to achieve agility, efficiency, and sustainable growth in a hyperconnected world. Join us to be part of a pioneering team at the forefront of cloud and AI innovation. You'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about cloud and AI, and eager to make a significant impact, the Infosys Cloud unit is the perfect place for you to grow and excel.

Requirements

Core development experience in below stacks:
Experience in Scala or Python or Spark or Hadoop application development.
Experience in end-to-end implementation of projects using Cloudera Hadoop, Spark, Hive, HBase, Sqoop, Kafka, Elasticsearch, Grafana, ELK stack.
Experience in AI-Powered Intelligent Data Integration & Transformation and also 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 of datasets.
Hands-on experience with platform monitoring, automation, and DevOps tools.
Experience in managing hybrid environments (on-prem and cloud).
Excellent communication and leadership skills.
Knowledge of data governance, security, and compliance frameworks.
Technical Ability to build bespoke AI agents, multi-agent systems using Python and frameworks like LangGraph, LangChain to build applications tailored to nuanced, real-world business needs.
Build AI-assisted workflows (classification, enrichment, response generation, decision support) and Implement structured outputs, prompt pipelines, and reliability safeguard.
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.
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.
Infosys is unable to provide immigration sponsorship for this role now or in the future.

Nice To Haves

Sound Knowledge of Software engineering design patterns and practices.
Experience with Ranger, Atlas, Tez, Hive LLAP, Neo4J, NiFi, Airflow, or any DAG based tools.
Knowledge and experience with Cloud and containerization technologies: Azure, Kubernetes, OpenShift and Dockers.
Planning and Co-ordination skills.
Experience and desire to work in a Global delivery environment.
Ability to work in team in diverse/ multiple stakeholder environment.
A high degree of initiative and flexibility.
High customer orientation.
Excellent verbal and written communication skills.

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 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.