Snowflake Data Lead​/Architect

New York, United States | Posted on 09/10/2026

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, Dev Ops and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, Data Robot, Global IDs, tableau, Mule Soft and Talend.

We are seeking an experienced Snowflake Data Architect
with expertise in Snowflake Cortex AI
to design, architect, and implement modern cloud data platforms and AI-powered analytics solutions. The ideal candidate will have strong experience in Snowflake architecture, data engineering, and Generative AI capabilities such as
RAG (Retrieval-Augmented Generation), Semantic Search, Cortex AI Functions, Cortex Agents, and Snowpark
to deliver scalable, secure, and intelligent data solutions. Snowflake Cortex enables AI applications, semantic search, AI functions, and agentic workflows directly within Snowflake while keeping data governed inside the platform.

• Lead end-to-end implementation of Snowflake Data Cloud solutions.
• Architect modern data warehouses, data lakes, and Lakehouse solutions.
• Design scalable ELT/ETL pipelines using Snowpark, SQL, Python, and dbt.
• Build AI-powered data products using Snowflake Cortex AI.
• Develop Retrieval-Augmented Generation (RAG) solutions using Cortex Search and vector embeddings.
• Implement Semantic Search and enterprise knowledge retrieval solutions.
• Design and deploy Cortex Agents and multi-agent AI workflows.
• Develop AI-powered data applications using Cortex AI Functions (, , , , , etc.).
• Design secure AI architectures with RBAC, masking policies, row/column-level security, and governance.
• Optimize Snowflake performance, storage, clustering, and cost.
• Build metadata-driven and reusable data frameworks.
• Collaborate with business stakeholders to translate requirements into scalable data and AI solutions.
• Mentor engineering teams and establish architecture best practices.

• 10+ years of Data Engineering/Data Architecture experience.
• 5+ years of hands-on Snowflake implementation experience.
• Strong expertise in:
• Snowflake Data Cloud
• Snowpark (Python/Scala)
• SQL
• Data Modeling (Dimensional & Data Vault)
• ELT/ETL Design
• Hands-on experience with Snowflake Cortex AI:
• Cortex AI Functions
• Cortex Search
• Cortex Agents
• Semantic Search
• Vector Embeddings
• Prompt Engineering
• LLM Integration
• Experience with Structured and Unstructured Data.
• Experience building enterprise AI applications on Snowflake .
• Strong understanding of Data Governance, Security, and AI Governance.
• Experience with CI/CD and Dev Ops.
• Strong communication and stakeholder management skills.

• Capital Markets, Banking, or Financial Services experience.
• Experience with PostgreSQL, Oracle, SQL Server, or DB2 migrations.
• dbt
• Kafka
• Airflow
• Talend
• Databricks
• Terraform
• REST APIs
• Lang Chain or similar GenAI orchestration frameworks

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Snowflake Snow Pro Advanced Certifications.
• Cloud certifications (AWS, Azure, or GCP).
• AI/ML or Generative AI certifications are a plus.

• Designing enterprise-scale Snowflake platforms.
• Implementing AI-driven analytics and intelligent search solutions.
• Architecting semantic layers and enterprise knowledge retrieval.
• Delivering AI-powered data products with strong governance and security.
• Leading architecture reviews, technical strategy, and client engagements.

• Snowflake
• Snowflake Cortex AI (RAG, Semantic Search, Cortex Agents, AI Functions)
• Snowpark (Python)
• SQL
• Data Modeling

Strong communication and client-facing experience