Snowflake Data Lead/ Architect
Company: DATAECONOMY
Role summary
Snowflake Data Lead/ Architect is a full-time role at DATAECONOMY in New York, New York, United States (on-site). Posted 2026-09-10. Experience level: 10+.
- Job title
- Snowflake Data Lead/ Architect
- Company
- DATAECONOMY
- Location
- New York, New York, United States
- Work arrangement
- on-site
- Employment type
- full-time
- Category
- Data Science
- Experience level
- 10+
- Date posted
- 2026-09-10
This is a fantastic opportunity for a seasoned data professional to lead and shape data architecture at DATAECONOMY. With a generous salary and the chance to work with cutting-edge technology, this role offers significant impact and professional growth. It's perfect for someone with extensive experience looking to make their mark.
Job description
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.
Role: Snowflake Lead Data Engineer/ Architect
Location: NYC, NY
Full time role
Job Description:
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.
Key Responsibilities
Design enterprise-scale data architectures using Snowflake .
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 Architecture
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
RAG Architecture
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
Apache Iceberg
Kafka
Airflow
Talend
Denodo
Azure, AWS, or GCP
Databricks
Terraform
Docker & Kubernetes
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 <span style="border:0px; font:inherit; margin:0px; padding:0px; vertical