The Role
Design and lead enterprise-scale data and AI architectures centered on Snowflake and Microsoft Azure. Responsibilities include data platform modernization, cloud migration, data governance, Snowflake optimization, Python and SQL development, and GenAI solutions using LLMs and RAG. The role leads technical teams, conducts architecture reviews, mentors engineers, translates business requirements into solutions, creates roadmaps and governance documentation, and ensures security, compliance, performance, and cost optimization.
Summary Generated by Built In
Job Description:
Solution Architect (Snowflake, Python & SQL)Required Qualifications- 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: Snowflake Architecture, Snowpark, Snowpipe, Streams & Tasks, Dynamic Tables, Data Sharing, Performance Tuning, Cost Optimization.
- Programming: Python, SQL, PySpark, Pandas, NumPy.
- Data Engineering: ETL/ELT Design, Data Pipelines, Data Warehousing, Data Lakehouse Architecture, Data Modeling.
- Generative AI & AI Technologies: Azure OpenAI, OpenAI APIs, LLMs, RAG (Retrieval-Augmented Generation), AI Agents, Prompt Engineering, Vector Databases, LangChain, Semantic Kernel.
- Cloud Platforms: Microsoft Azure (preferred), Azure Data Factory, Azure Databricks, Azure AI Services, Microsoft Fabric.
- DevOps & Automation: GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, Terraform.
- Data Governance: Data Security, Data Quality Management, Metadata Management, Compliance, Access Controls.
- Visualization & Analytics: Power BI, Tableau, Advanced Analytics.
- 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 to support 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 initiatives 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.
Location:
DGS India - Bengaluru - Manyata N1 BlockBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- 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
- 5+ years of hands-on experience with Snowflake architecture, implementation, and optimization
- Experience designing enterprise-scale cloud data platforms and analytics solutions
- 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
- Experience with Snowflake Architecture, Snowpark, Snowpipe, Streams and Tasks, Dynamic Tables, Data Sharing, performance tuning, and cost optimization
- Experience with Python, SQL, PySpark, Pandas, and NumPy
- Experience with ETL/ELT design, data pipelines, data warehousing, data lakehouse architecture, and data modeling
- Experience with Azure OpenAI, OpenAI APIs, LLMs, RAG, AI agents, prompt engineering, vector databases, LangChain, and Semantic Kernel
- Experience with Microsoft Azure, Azure Data Factory, Azure Databricks, Azure AI Services, and Microsoft Fabric
- Experience with GitHub, Azure DevOps, CI/CD, Docker, Kubernetes, and Terraform
- Experience with data security, data quality management, metadata management, compliance, and access controls
- Experience with Power BI, Tableau, and advanced analytics
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The Company
What We Do
Dentsu Creative is a global creative agency network designed to unlock exponential growth for clients. We use Transformative Creativity as a differentiating, driving force to bring our capabilities together to positively impact people, business and society. Established in 2022, Dentsu Creative is integrated with dentsu’s Media and CXM businesses in over 145 countries and regions, to offer Integrated Growth Solutions.
