About this role
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. Required 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. Key Responsibilities
• 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 Block Brand: Merkle Time Type: Full time Contract Type: Permanent