Azure Cloud Databricks Lead Developer

Job Description 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 Client. 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: Candidate must be located within commuting distance of Cincinnati, OHor Indianapolis, IN or be willing to relocate to the area. This position may require travel within the US 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

Created: 2026-03-10