Description de l'emploi

Infosys is seeking an Azure Databricks Senior Cloud 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.

Candidate must be located within the commuting distance of Blue Ash, OH or Richardson, TX or Raleigh, NC or Phoenix, AZ or Indianapolis, IN, or Hartford, CT or be willing to relocate to any of these locations.

• 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.
• At least 11 years of experience with Information Technology.
• 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 at this time
• Proven 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 or CPG data domains
• Familiarity with vector search and semantic retrieval for retail use cases.
• 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
• 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

• Experience in Relational Modeling, Dimensional Modeling and Modeling of Unstructured Data
• 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
• Experience with Generative AI frameworks: OpenAI, Hugging Face, LangChain
• Knowledge of Model Context Protocol (MCP) or similar AI integration standards.
• Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads

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.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.