Technical Architect

dentsu Austria

. Design and implement scalable, secure, and high-performing enterprise data solutions using Snowflake and cloud technologies .

Posted 9/29/2026full-timeBengaluru • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable enterprise data solutions using Snowflake and cloud technologies, with a strong focus on data governance, security, and performance optimization. Proven ability to lead technical teams and collaborate with stakeholders to drive data modernization and cloud migration initiatives.

Highest-signal resume keywords

Snowflake ArchitectureData EngineeringPython DevelopmentCloud MigrationData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SnowflakeSQLPythonETL/ELT DesignData WarehousingData Lakehouse ArchitectureData ModelingAzure OpenAIRAGPrompt Engineering

Soft Skills

Excellent CommunicationStakeholder ManagementLeadership

Tools & Technologies

Microsoft AzureAzure Data FactoryAzure DatabricksPower BITableauGitHubAzure DevOpsDockerKubernetesTerraform

Industry Keywords

Data SecurityData Quality ManagementComplianceAccess ControlsPerformance Tuning

Tech Stack

Tools & technologies

AzureCloudDockerETLKubernetesNumpyPandasPySparkPythonSQLTableauTerraform

About the role

Key responsibilities & impact

Design and implement scalable, secure, and high-performing enterprise data solutions using Snowflake and cloud technologies
Define end-to-end architecture for data ingestion, transformation, storage, governance, and analytics
Architect and optimize Snowflake environments for business-critical workloads
Develop and review Python- and SQL-based solutions for data engineering and analytics use cases
Design and implement Generative AI solutions including LLM-powered applications, AI assistants, intelligent search, and enterprise copilots
Build and govern RAG-based architectures integrating structured and unstructured enterprise data
Collaborate with business stakeholders to convert business requirements into scalable technical solutions
Lead migration initiatives from legacy data platforms to Snowflake and cloud-native architectures
Establish best practices for data governance, security, performance optimization, and cost management
Provide architectural leadership, conduct design reviews, and mentor engineering teams
Evaluate emerging AI, cloud, and data technologies and recommend adoption strategies
Drive automation, innovation, and continuous improvement across data and AI platforms
Support solution estimation, technical planning, risk identification, and mitigation strategies
Create architecture documentation, technical roadmaps, and governance artifacts
Ensure compliance with enterprise standards, security policies, and regulatory requirements

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field
10+ years of experience in Data Engineering, Data Warehousing, Data Architecture, or Solution Architecture
Minimum 5+ years of hands-on experience with Snowflake architecture, implementation, and optimization
Proven experience designing enterprise-scale cloud data platforms and analytics solutions
Strong experience with data modernization, cloud migration, and digital transformation initiatives
Experience leading technical teams and collaborating with cross-functional stakeholders
Excellent communication, presentation, and stakeholder management skills
Snowflake Architecture, Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Performance Tuning, Cost Optimization
Python, SQL, PySpark, Pandas, NumPy
ETL/ELT Design, Data Pipelines, Data Warehousing, Data Lakehouse Architecture, Data Modeling
Azure OpenAI, OpenAI APIs, LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases, LangChain, Semantic Kernel
Microsoft Azure, Azure Data Factory, Azure Databricks, Azure AI Services, Microsoft Fabric
GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, Terraform
Data Security, Data Quality Management, Metadata Management, Compliance, Access Controls
Power BI, Tableau, Advanced Analytics