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Strong employer brand and Bangalore location balanced by niche Databricks/agent skills and seniority.
Deep Databricks, Unity Catalog and medallion architecture requirements limit cross-industry transferability.
Explicit 8+ years and mandatory Databricks, PySpark, and production agent experience make filters strict.
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Own end-to-end design, development, and deployment of production-grade applications on Azure Databricks, including AI agent workflows and enterprise system integrations.
Lead development and architecture of agentic AI HR solutions with LLM API integration, building scalable multi-step agent pipelines and evolving platform capabilities.
Set and maintain technical standards and best practices for the HR Data Platform team, influence through code quality, architecture reviews, and collaboration with data engineers and stakeholders.
8+ years of software engineering experience, including at least 3 years of hands-on Databricks development in production.
Deep expertise in Python, PySpark, Databricks SQL within a Unity Catalog environment and medallion data architecture.
Proven experience designing and deploying AI agent workflows with LLM integration and building Databricks Apps or Streamlit applications in an enterprise setting.
Experience integrating enterprise SaaS platforms (e.g., Workday, ServiceNow, iCIMS) via REST APIs and communicating technical decisions to non-technical stakeholders.
Senior individual contributor with demonstrated capacity to own complex, high-impact engineering projects and define technical direction in a growing platform.
Technically fluent in cutting-edge Databricks-native AI tooling and architectures, able to anticipate and adopt emerging capabilities.
Comfortable bridging technical and business teams, translating HR operations requirements into technical solutions for enterprise-scale HR technology products.