Data Architect With Snowflake Cortex & AI Exp in VA,GA,NY (Onsite/Hybrid)

New York, NY, US • Posted 2 days ago • Updated 1 day ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • o Virtual Warehouses o Resource Monitors o Time Travel o Zero-Copy Cloning o Data Sharing o Snowpark o Streams & Tasks o Security & Governance Controls
  • Snowflake Cortex & AI

Summary

Role: Data Architect With Snowflake Cortex & AI Exp in VA,GA,NY
Location: Arlington, VA / Alpharetta, GA / New York, NY (Onsite/Hybrid)
Employment Type: Full-Time

 

About the Role

Client is seeking a highly experienced Snowflake Data Architect with expertise in Snowflake Cortex, AI-powered analytics, and modern cloud data platforms. This role will be responsible for designing and leading enterprise-scale data architectures that support advanced analytics, AI/ML initiatives, and data-driven business transformation.

The ideal candidate will bring a combination of data architecture leadership, Snowflake platform expertise, cloud data engineering knowledge, and AI integration experience, enabling organizations to build secure, scalable, and intelligent data ecosystems.

Key Responsibilities

Data Architecture & Platform Design

  • Lead end-to-end architecture and solution design for Snowflake-based data platforms.
  • Design logical, physical, and semantic data models supporting analytics, reporting, and AI/ML workloads.
  • Architect data ingestion frameworks utilizing batch, streaming, Snowpipe, and ELT/ETL methodologies.
  • Design and implement scalable data warehouses, data lakes, and lakehouse architectures.

Snowflake Optimization & Governance

  • Optimize platform performance through warehouse strategy, query tuning, workload management, autoscaling, and cost optimization.
  • Establish enterprise-grade governance frameworks covering:
    • RBAC (Role-Based Access Control)
    • Dynamic Data Masking
    • Row & Column-Level Security
    • Encryption & Secure Data Sharing
    • Data Lineage and Compliance Controls
  • Implement disaster recovery, replication, and high-availability solutions.

AI & Snowflake Cortex Solutions

  • Architect and implement AI-powered solutions using:
    • Snowflake Cortex LLM Functions
    • Cortex Search
    • Cortex Analyst
    • Document AI
    • Vector Embeddings & Semantic Search
    • Retrieval-Augmented Generation (RAG) Architectures
  • Integrate Snowflake with external LLMs and AI platforms to support:
    • Conversational Analytics
    • AI Agents
    • Fine-Tuning Workflows
    • Multimodal Data Processing

Data Engineering & Integration

  • Design scalable pipelines integrating cloud, on-premises, and SaaS data sources.
  • Implement real-time and event-driven architectures using:
    • Snowpark
    • Streams & Tasks
    • Kafka
    • Spark
    • Airflow
  • Enable governed, reusable data products for analytics and AI consumption.

Leadership & Strategy

  • Lead migrations from legacy data warehouses and cloud platforms to Snowflake.
  • Define architecture standards, best practices, and reference frameworks.
  • Mentor architects and engineers on data modeling methodologies including:
    • Data Vault 2.0
    • Kimball Dimensional Modeling
    • Hybrid Semantic Modeling
  • Conduct architecture reviews and guide enterprise data strategy initiatives.

Required Qualifications

  • 8+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platforms.
  • 4+ years of hands-on experience designing and optimizing Snowflake solutions.
  • Deep expertise with Snowflake capabilities including:
    • Virtual Warehouses
    • Resource Monitors
    • Time Travel
    • Zero-Copy Cloning
    • Data Sharing
    • Snowpark
    • Streams & Tasks
    • Security & Governance Controls
  • Strong proficiency in:
    • SQL
    • Data Modeling (Conceptual, Logical, Physical)
    • ETL/ELT Architecture
    • Cloud Platforms (AWS, Azure, or Google Cloud Platform)
  • Experience designing secure and scalable architectures for:
    • Analytics
    • Reporting
    • Data Science
    • Machine Learning
  • Strong understanding of:
    • Data Governance
    • Data Quality
    • Metadata Management
    • Compliance Frameworks (GDPR, SOC2, HIPAA)
  • Bachelor''''s or Master''''s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications

Snowflake & AI

  • Hands-on experience with:
    • Snowflake Cortex Search
    • Cortex Analyst
    • Cortex LLM Functions
    • Vector Databases & Embeddings
    • RAG Implementations
    • AI Agent Development
  • SnowPro Certifications:
    • SnowPro Core
    • SnowPro Advanced
    • SnowPro Architect

Modern Data Stack

Experience with:

  • dbt
  • Apache Airflow
  • Kafka
  • Apache Spark
  • Fivetran
  • Matillion
  • Similar modern data engineering tools

Additional Expertise

  • AI/ML Operations and Generative AI Workflows
  • Semantic Search and Knowledge Retrieval Architectures
  • Domain-Driven Design
  • Data Vault 2.0
  • Enterprise Data Governance Programs
  • Experience within Financial Services, Healthcare, Pharmaceutical, or other regulated industries

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10459902
  • Position Id: 1291-22664-
  • Posted 2 days ago
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