Infosys is seeking a Azure, Databricks and 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.

Required Qualifications:

• 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.
• Candidate must be located within commuting distance of Blue Ash, OH or be willing to relocate to the area.
• All applicants authorized to work in the United States are encouraged to apply
• At least 11 years of Information Technology experience
• At least 7 years of hands-on experience in architecting solutions on Azure, Databricks and Spark
• Proficiency in data engineering tools: Spark, Kafka, Airflow, SQL, Python.
• Strong understanding of retail data domains: customer 360, inventory, pricing, promotions, and supply chain.
• Experience with Generative AI frameworks: OpenAI, Hugging Face, LangChain
• Familiarity with vector search and semantic retrieval for retail use cases.
• Knowledge of Model Context Protocol (MCP) or similar AI integration standards.
• Expertise in data privacy and compliance in consumer-facing environments
• Good experience in end-to-end implementation of data warehouse and data marts
• Strong understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design
• Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads
• Extensive experience with CI/CD platforms such as GitLab CI, GitHub Actions, AWS CodeBuild, Azure Pipelines, and Jenkins
• Experience designing and implementing complex solutions for distributed systems
• Experience in leading and mentoring teams

Preferred Qualifications:

• 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
• Skilled in scripting languages including Python, Bash, and PowerShell
• Familiarity with log and monitoring solutions
• Experience in utilizing development containers, unit testing/code quality review/linting - standard best practice
• 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

THE JOB ENTAILS SITTING AS WELL AS WORKING AT A COMPUTER FOR EXTENDED PERIODS OF TIME. SHOULD BE ABLE TO COMMUNICATE BY TELEPHONE, EMAIL OR FACE TO FACE. TRAVEL MAY BE REQUIRED AS PER THE JOB REQUIREMENTS

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.

Please refer the Job description for details