Job Title: Azure Cloud Databricks Lead Developer
Location: Cincinnati, OH, Indianapolis, IN, or Plano, Tx (Onsite)
Job type: full-time
Job Description
We are seeking an Azure Cloud Databricks Lead Developer. 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
- At least 4 years of experience with Information Technology
- Proven years of hands-on experience in architecting solutions on Azure, Databricks and Spark
- Proficiency in data engineering tools: Spark, Kafka, Airflow, SQL, Python
- 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, Azure Pipelines, and Jenkins
- Experience designing and implementing complex solutions for distributed systems
- Experience in leading and mentoring teams
Preferred Qualifications:
- Strong understanding of retail or CPG data domains
- 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
