GDT Data Solution Architect
Unilever (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and own end-to-end data and analytics architectures across data ingestion, lakes, warehouses, BI, and AI solutions within the Data Foundation ecosystem.
- Architect and optimize scalable, governed data platforms and pipelines for enterprise-scale reliability and performance across Azure and GCP environments.
- Lead AI readiness efforts including agentic and generative AI solution adoption, ensuring alignment with enterprise cloud strategy, security, and governance.
Minimum Requirements
- Strong hands-on experience with Python, Databricks, SQL/PostgreSQL, Apache Airflow, and Power BI development.
- Proven expertise in GCP architecture and solution design; working knowledge of Azure ecosystem and multi-cloud architecture patterns.
- Experience designing and delivering scalable data and AI solutions including agentic AI frameworks and conversational AI solutions.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in architecting and delivering data-driven products in large-scale, cloud-native, and digital-first organisations, preferably with enterprise data transformation background.
- Technical leader capable of translating business requirements into scalable technical architectures with end-to-end ownership for delivery and adoption.
- Proficient in multi-cloud environments (Azure and GCP) with deep knowledge of AI, data governance, and microservices/distributed system design patterns.