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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Architect/ Data Architect - **Company:** Anagha Techno Soft - **Location:** New York, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Architectural Patterns, ARM Architecture, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Governance, Software Design Patterns, Python (Programming Language), PostgreSQL, Machine Learning, Performance Tuning, Systems Development Life Cycle, Power BI, Ansible, Search Technologies, SQL Databases, Talend, Transaction Data, Cloud Platform System, Snowflake, Apache Spark, Generative AI, Microsoft Fabric, Information Technology, Databricks - **Published:** August 11, 2026 - **Apply:** https://www.dice.com/job-detail/f5789608-12f5-408e-9d3e-aa3b8c1cb349 ## About the Role * Minimum 10 years of recent experience in data architecture, data engineering, or a similar field. * Hands-on expertise with PostgreSQL and Snowflake administration and performance tuning. * Strong scripting and automation skills (Python, Ansible, etc.). * Familiar with Cloud Based Architectures /Data-Warehousing Platforms, prior experience / knowledge in Snowflake Design Patterns and migration workflow would be a plus. * Prior exposure building ML and generative AI solutions using Snowflake Cortex Analyst, Search, AI SQL, Snowflake ML, and Snowpark Container Services. * Proven record of architecting and delivering large-scale data warehouse modeling and reporting solutions for enterprise systems. * A bachelor's degree from an accredited college or university is required. A master''s degree in computer science, engineering, or a related technical discipline is preferred. * Expertise in architecting cloud-native data ecosystems using platforms such as Snowflake, Databricks, Talend, SPARK, Power BI, and Microsoft Fabric. * Deep knowledge of designing solutions that incorporate Retrieval-Augmented Generation (RAG) and vector search (e.g., Azure AI Search). * In-depth understanding of architectural patterns for processing and modeling both structured transactional data and unstructured information. * Experience with transactional processing and AI/ML applications. * Demonstrated experience defining architectural principles, data governance policies, and technology standards within a large-scale, regulated, and Agile Software Development Life Cycle (SDLC) environment. * Exceptional problem-solving, communication, collaboration and leadership skills. * Ability to articulate strategic technical vision, influence executive-level stakeholders, and guide solutions for complex business problems. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Dev & Test in the Cloud? 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