Snowflake Data Lead/ Architect

DATAECONOMY; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

DATAECONOMY is seeking a seasoned Snowflake Data Architect to design and implement modern cloud data platforms with AI-powered analytics. You’ll lead data warehouses, data lakes, and Lakehouse solutions while integrating Cortex AI capabilities for enterprise knowledge retrieval.

The role emphasizes scalable ELT/ETL pipelines, data governance, and collaboration with stakeholders to deliver intelligent data products across the organization.

Qualifications

• 10+ years of data engineering/architecture experience.
• 5+ years hands-on Snowflake implementation.
• Strong knowledge of Snowflake Cortex AI features.

Responsibilities

• Lead end-to-end Snowflake Data Cloud implementations.
• Design data warehouses, lakes, and lakehouses.
• Build ELT/ETL pipelines with Snowpark, SQL, Python, dbt.
• Develop AI-powered data products using Cortex AI.
• Implement RAG and Semantic Search solutions.
• Design Cortex Agents and multi-agent workflows.
• Ensure RBAC, masking, and data governance.

Skills

Snowflake Data Cloud

Snowpark (Python/Scala)

SQL

Data Modeling

ELT/ETL Design

Cortex AI Functions

Semantic Search

Vector Embeddings

Goverance & Security

Education

Bachelor's or Master’s in CS/IT

Tools

Snowpark (Python)

dbt

Python

Cloud platforms (AWS/Azure/GCP)

Job description

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, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Location: NYC, NY

Full time role

Job Description

We are seeking an experienced Snowflake Data Architectwith expertise in Snowflake Cortex AIto 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 asRAG (Retrieval-Augmented Generation), Semantic Search, Cortex AI Functions, Cortex Agents, and Snowparkto 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.

Key Responsibilities

• 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 (AI_COMPLETE, AI_CLASSIFY, AI_FILTER, AI_SUMMARIZE, AI_TRANSLATE, 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.
  

Required Skills

• 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 DevOps.
  
• Strong communication and stakeholder management skills.
  

Nice to Have

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

Preferred Qualifications

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

Preferred Experience

• 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.
  

Requirements

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

Strong communication and client-facing experience