dentsu Austria
dentsu Austria
51 – 200 Employees
EnterpriseMarketingMedia
dentsu Austria is the Austrian arm of the global Dentsu Group, helping organizations address business transformation, marketing, and sustainable growth. Its work combines research, analysis, media expertise, and integrated solutions to help brands navigate changing markets and create meaningful experiences. As part of an international network, dentsu Austria brings together perspectives across marketing, media, and enterprise services to turn complex challenges into practical opportunities for clients, their audiences, and society.

Senior Technical Architect – Snowflake and Cloud Data, Bengaluru On-site

Senior Technical Architect responsible for Snowflake and cloud data platforms in Bengaluru. Leads enterprise data modernization, governance, and generative AI architecture initiatives.

Description

  • Design and deliver scalable, secure enterprise data solutions with Snowflake and cloud technologies
  • Define complete architectures for data ingestion, transformation, storage, governance, and analytics
  • Architect and improve Snowflake environments supporting business-critical workloads
  • Create and review Python and SQL solutions for data engineering and analytics applications
  • Develop generative AI solutions, including LLM applications, AI assistants, intelligent search, and enterprise copilots
  • Build and govern RAG architectures that combine structured and unstructured enterprise data
  • Translate business needs into scalable technical solutions with stakeholders
  • Lead migrations from legacy data platforms to Snowflake and cloud-native architectures
  • Set standards for data governance, security, performance, and cost control
  • Provide architectural direction, lead design reviews, and mentor engineering teams
  • Assess emerging AI, cloud, and data technologies and advise on adoption
  • Advance automation, innovation, and continuous improvement across data and AI platforms
  • Contribute to solution estimates, technical planning, risk assessment, and mitigation
  • Produce architecture documentation, technical roadmaps, and governance materials
  • Maintain compliance with enterprise standards, security policies, and regulatory obligations

Requirements

  • Bachelor’s or master’s degree in computer science, information technology, engineering, data science, or a related discipline
  • At least 10 years of experience in data engineering, data warehousing, data architecture, or solution architecture
  • Five or more years of hands-on experience designing, implementing, and optimizing Snowflake environments
  • Demonstrated success designing enterprise-scale cloud data platforms and analytics solutions
  • Experience with data modernization, cloud migration, and digital transformation programs
  • Background leading technical teams and working with cross-functional stakeholders
  • Strong communication, presentation, and stakeholder management abilities
  • Expertise in Snowflake Architecture, Snowpark, Snowpipe, Streams and Tasks, Dynamic Tables, Data Sharing, performance tuning, and cost optimization
  • Proficiency in Python, SQL, PySpark, Pandas, and NumPy
  • Knowledge of ETL and ELT design, data pipelines, data warehousing, lakehouse architecture, and data modeling
  • Experience with Azure OpenAI, OpenAI APIs, LLMs, RAG, AI agents, prompt engineering, vector databases, LangChain, and Semantic Kernel
  • Familiarity with Microsoft Azure, Azure Data Factory, Azure Databricks, Azure AI Services, and Microsoft Fabric
  • Experience using GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, and Terraform
  • Knowledge of data security, data quality management, metadata management, compliance, and access controls
  • Experience with Power BI, Tableau, and advanced analytics

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