{"id":1463386,"url":"https://alion.io/job/dentsu-technical-architect-2","title":"Technical Architect","company":{"id":888,"name":"dentsu","domain":"dentsu.com","url":"https://alion.io/company/dentsu-polska","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":111,"ghost_share":0,"stale_share":0.82,"repost_share":0.018,"time_to_fill_p50_days":26,"computed_at":"2026-10-01T05:45:00Z"}},"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":"structured","locations":["Bengaluru, India","Pune, 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architecture, implementation, and optimization.\nProven experience designing enterprise-scale cloud data platforms and analytics solutions.\nStrong experience with data modernization, cloud migration, and digital transformation initiatives.\nExperience leading technical teams and collaborating with cross-functional stakeholders.\nExcellent communication, presentation, and stakeholder management skills.\nRequired Skills\nSnowflake: Snowflake Architecture, Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Performance Tuning, Cost Optimization.\nProgramming: Python, SQL, PySpark, Pandas, NumPy.\nData Engineering: ETL/ELT Design, Data Pipelines, Data Warehousing, Data Lakehouse Architecture, Data Modeling.\n Generative AI & AI Technologies: Azure OpenAI, OpenAI APIs, LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Prompt Engineering, Vector Databases, LangChain, Semantic Kernel.\n Cloud Platforms: Microsoft Azure (preferred), Azure Data Factory, Azure Databricks, Azure AI Services, Microsoft Fabric.\nDevOps & Automation: GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, Terraform.\nData Governance: Data Security, Data Quality Management, Metadata Management, Compliance, Access Controls.\nVisualization & Analytics: Power BI, Tableau, Advanced Analytics.\nKey Responsibilities\nDesign and implement scalable, secure, and high-performing enterprise data solutions using Snowflake and cloud technologies.\nDefine end-to-end architecture for data ingestion, transformation, storage, governance, and analytics.\nArchitect and optimize Snowflake environments to support business-critical workloads.\nDevelop and review Python- and SQL-based solutions for data engineering and analytics use cases.\nDesign and implement Generative AI solutions including LLM-powered applications, AI assistants, intelligent search, and enterprise copilots.\nBuild and govern RAG-based architectures integrating structured and unstructured enterprise data.\nCollaborate with business stakeholders to convert business requirements into scalable technical solutions.\nLead migration initiatives from legacy data platforms to Snowflake and cloud-native architectures.\nEstablish best practices for data governance, security, performance optimization, and cost management.\nProvide architectural leadership, conduct design reviews, and mentor engineering teams.\nEvaluate emerging AI, cloud, and data technologies and recommend adoption strategies.\nDrive automation, innovation, and continuous improvement initiatives across data and AI platforms.\nSupport solution estimation, technical planning, risk identification, and mitigation strategies.\nCreate architecture documentation, technical roadmaps, and governance artifacts.\nEnsure compliance with enterprise standards, security policies, and regulatory requirements.\nLocation:\nDGS India - Bengaluru - Manyata N1 BlockBrand:\nMerkleTime Type:\nFull timeContract 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