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Tier-1 brand, Bangalore location, and broad multi-cloud, Databricks and AI requirements increase candidate competition.
Medium — cloud and Databricks skills transfer across industries, but enterprise agentic AI experience is more specialized.
High due to many mandatory multi-cloud, Databricks, BI, and agentic AI technical requirements.
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Design and own end-to-end data and analytics architectures across data lakes, warehouses, BI, ETL pipelines, and AI-driven solutions.
Architect scalable, modular, and governed data solutions across Azure and GCP clouds to enable AI-ready enterprise data assets.
Lead technical governance, ensure compliance, and collaborate with business stakeholders for measurable impact from data products.
Strong hands-on experience with Python, Databricks, SQL/PostgreSQL, Apache Airflow, Power BI, and GCP (including Cloud Run).
Proven expertise in GCP architecture and scalable multi-cloud solutions (Azure + GCP).
Experience in designing AI/agentic AI solutions including frameworks like LangChain or AutoGen.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced technical leader with deep expertise in enterprise-scale data platforms, AI/ML architecture, and multi-cloud environments.
Proven track record in delivering end-to-end data and AI products, from architecture to production-grade implementations.
Skilled in bridging complex technical designs with business requirements to drive adoption and value in fast-paced, digital-first organizations.