# GDT Data Solution Architect at Unilever

Unilever is hiring a GDT Data Solution Architect. Level rates it Works on AI ●●●○; you can [apply on Unilever](https://jobsbylevel.com/go/5896eda2-c49f-4526-b666-682638474c13?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Uniops Bangalore Centre.

## Details

- Company: [Unilever](https://jobsbylevel.com/companies/unilever)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Uniops Bangalore Centre
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/5896eda2-c49f-4526-b666-682638474c13?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=gdt-data-solution-architect-at-unilever-3425dd

## Prepare for this job

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## Description

Job Description Job Title: GDT Data Solution Architect Location: Bangalore, India ABOUT UNILEVER: Be part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life – giving us a unique opportunity to build a brighter future. Background: For Unilever to remain competitive in the future, the business needs to continue the path to becoming data intelligent. The Global Digital & Technology team will empower Unilever’s journey to becoming an Intelligent Enterprise - powering key decisions with data, insights, advanced analytics, and AI. Our ambition is to enable democratization of data, information and insights as a completely agile organization that builds fantastic careers for our people and is accountable for delivering great work that maximizes impact and delivers growth. We would be accountable for impact of solutions, maintaining market relevance and driving P&L, customer, and consumer value from analytics products. You’ll collaborate with global product and technical teams, business stakeholders, and cross-functional partners to ensure successful project execution. Role Overview: We are seeking a Data Solution Architect to drive the end-to-end design and development of data and analytics products within the Data Foundation ecosystem. This role spans across data platforms, BI, data lakes, data warehousing, web applications, ETL pipelines, and AI-driven solutions, ensuring that all solutions are scalable, governed, and AI-ready. As a key technical leader, you will be responsible for architecting integrated data solutions, enabling intelligent decision-making, and preparing enterprise data assets for advanced analytics and AI consumption. This role requires strong expertise across Azure and GCP ecosystems, along with a deep understanding of modern data and AI architecture patterns, including agentic and generative AI solutions. Key Responsibilities End-to-End Solution Architecture Design and own holistic data and analytics architectures covering: Data ingestion, processing, and transformation (ETL/ELT) Data lakes, data warehouses, and semantic layers BI and reporting solutions (Power BI, dashboards, datasets) Web applications and data-driven products Define scalable, modular, and reusable architecture patterns aligned to Data Foundation standards. Ensure solutions are cost-efficient, performant, and future-ready, supporting enterprise-scale use cases. Data Platform & Engineering Excellence Architect and optimise data pipelines and workflows for reliability, scalability, and maintainability. Drive standardisation across UDL, BDL, and product data layers, ensuring minimal redundancy and efficient data flow. Establish best practices for data modelling, partitioning, incremental processing, and performance optimisation. Enable self-service data capabilities through governed, well-structured data models. AI & Advanced Analytics Enablement Design solutions that make data AI-ready, including semantic modelling, metadata enrichment, and knowledge layers. Lead the adoption of AI/ML and generative AI patterns, including: Agentic architectures and multi-agent workflows RAG-based and conversational analytics solutions Apply best practices for AI governance, accuracy, monitoring, and responsible AI adoption. Cloud & Cross-Platform Architecture Build and guide solutions across Azure and Google Cloud (GCP) ecosystems. Define integration strategies across Databricks, cloud-native services,

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