{"id":129349,"url":"https://alion.io/job/unilever-gdt-data-solution-architect-3","title":"GDT Data Solution Architect","company":{"id":4977,"name":"Unilever","domain":"unilever.com","url":"https://alion.io/company/unilever","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":37,"ghost_share":0,"stale_share":0.027,"repost_share":0.162,"time_to_fill_p50_days":13,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"LangChain","optional":false},{"name":"MS SQL","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"C#","optional":true},{"name":"CI/CD","optional":true},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T03:38:59Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":66},"description":"Job Description\nJob Title: GDT Data Solution Architect\nLocation: Bangalore, India\nABOUT UNILEVER:\nBe 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.\nBackground:\nFor 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.\nWe 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.\nRole Overview:\nWe 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.\nAs 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.\nKey Responsibilities\nEnd-to-End Solution Architecture\nDesign and own holistic data and analytics architectures covering:\nData ingestion, processing, and transformation (ETL/ELT)\n\nData lakes, data warehouses, and semantic layers\n\nBI and reporting solutions (Power BI, dashboards, datasets)\n\nWeb applications and data-driven products\n\nDefine scalable, modular, and reusable architecture patterns aligned to Data Foundation standards.\n\nEnsure solutions are cost-efficient, performant, and future-ready, supporting enterprise-scale use cases.\n\nData Platform & Engineering Excellence\nArchitect and optimise data pipelines and workflows for reliability, scalability, and maintainability.\n\nDrive standardisation across UDL, BDL, and product data layers, ensuring minimal redundancy and efficient data flow.\n\nEstablish best practices for data modelling, partitioning, incremental processing, and performance optimisation.\n\nEnable self-service data capabilities through governed, well-structured data models.\n\nAI & Advanced Analytics Enablement\nDesign solutions that make data AI-ready, including semantic modelling, metadata enrichment, and knowledge layers.\n\nLead the adoption of AI/ML and generative AI patterns, including:\nAgentic architectures and multi-agent workflows\n\nRAG-based and conversational analytics solutions\n\nApply best practices for AI governance, accuracy, monitoring, and responsible AI adoption.\n\nCloud & Cross-Platform Architecture\nBuild and guide solutions across Azure and Google Cloud (GCP) ecosystems.\n\nDefine integration strategies across Databricks, cloud-native services, and third-party tools.\n\nEnsure solutions align with enterprise cloud strategy, security standards, and platform governance.\n\nBusiness & Product Alignment\nPartner with business stakeholders to shape data products and analytics use cases.\n\nTranslate business requirements into scalable technical designs and deliverable architectures.\n\nDrive end-to-end ownership from concept to delivery and adoption, ensuring measurable business impact.\n\nLeadership & Governance\nAct as a technical authority and mentor, guiding engineering teams and ensuring alignment to best practices.\n\nLead architecture reviews, enforce data governance, security, and compliance standards.\n\nDocument architecture patterns, design decisions, and reusable frameworks for enterprise adoption.\n\nRequired Skills & Experience\nCore Technical Expertise (Strong Hands-on)\nStrong hands-on experience in Python with ability to build production-grade data and AI solutions.\n\nDeep expertise in Databricks ecosystem, including Delta Lake, Unity Catalog, and workflow orchestration.\n\nAdvanced proficiency in SQL / PostgreSQL, with strong data modelling and optimisation skills.\n\nHands-on experience with Apache Airflow for workflow orchestration and scheduling.\n\nExperience with Google Cloud Platform (GCP) services, including Cloud Run and cloud-native architectures.\n\nStrong experience in Power BI development, including semantic modelling and performance optimisation.\n\nProven expertise in GCP architecture and solution design, delivering scalable and enterprise-ready systems.\n\nSecondary / Cross-Platform Expertise\nGood hands-on experience and working knowledge of:\nAzure ecosystem (ADF, Azure SQL, MS SQL Server)\n\nData integration and pipeline design using ADF or equivalent tools\n\nUnderstanding of multi-cloud architecture patterns (Azure + GCP) and interoperability across platforms.\n\nApplication & Product Development\nExperience in web application architecture design, including API-first and microservices-based patterns.\n\nHands-on experience in at least one modern web/backend stack:\nNode.js / React\n\n.NET\n\nPython (FastAPI or similar frameworks)\n\nAbility to design and build data-driven applications and scalable backend services.\n\nAI, Data & Agentic Architecture\nStrong understanding of AI/ML solution design, including data preparation for AI consumption.\n\nHands-on experience with agentic AI frameworks such as LangChain, AutoGen, CrewAI, or similar.\n\nExperience building agent-driven or conversational AI solutions (RAG, orchestration, workflow agents).\n\nUnderstanding of event-driven architectures, APIs, and distributed systems.\n\nKnowledge of data security, governance, and access control, especially in AI/agentic architectures.\n\nSoftware Engineering & Delivery\nStrong foundation in software engineering, with experience designing and delivering production-grade systems.\n\nProven ability to:\nTranslate architecture into working code\n\nBuild scalable, modular, and maintainable solutions\n\nExperience with microservices and distributed system design patterns.\n\nPreferred Experience\nExperience in building data and analytics products across:\nData lakes / Lakehouse architectures\n\nData warehousing\n\nBI and reporting platforms\n\nExposure to AI-driven or agentic solutions in enterprise environments.\n\nExperience working in data-intensive or digital-first organisations (e.g., media, analytics, or platform companies).\n\nCultural Fit\nComfortable working in a fast-paced environment with evolving requirements.\n\nCollaborative mindset with a focus on solving real business problems.\n\nGood to Have / Preferred Skills\nCertification in GCP Architecture (e.g., Google Professional Cloud Architect)\n\nAdditional certifications in Azure Data / AI / Architecture (e.g., Azure Solutions Architect, Azure Data Engineer)\n\nExposure to Databricks certifications or advanced training in Lakehouse architecture\n\nExperience with end-to-end AI product development lifecycle, including experimentation to productionisation\n\nFamiliarity with Azure DevOps / CI-CD practices for data and AI solutions\n\nKnowledge of data governance frameworks and enterprise data cataloguing tools\n\nExperience working in large-scale enterprise data transformation or cloud migration initiatives\n\nExposure to modern data stack tools and emerging AI platforms\n\nNote: All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent-please verify before proceeding.","description_format":"text","description_chars":8489,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cosmetics & Makeup","Cleaning & Household Products","Personal Hygiene & Toiletries","Hair Care Products"],"lifecycle":[{"event":"open","at":"2026-08-19T00:00:00Z"},{"event":"close","at":"2026-08-28T01:13:02Z"},{"event":"reopen","at":"2026-10-22T15:39:04Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.472,"p_room":0.28,"age_days":66,"expected_fill_days":13,"reasons":["conf:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/unilever-gdt-data-solution-architect-3","json_url":"https://alion.io/job/unilever-gdt-data-solution-architect-3.json","meta":{"generated_at":"2026-10-25T02:31:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3830,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4977},"rest":"https://alion.io/mcp/rest/get_company?id=4977"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Funilever-gdt-data-solution-architect-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Funilever-gdt-data-solution-architect-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Funilever-gdt-data-solution-architect-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/unilever-gdt-data-solution-architect-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Funilever-gdt-data-solution-architect-3"}]}