Data Architect Snowflake & Cortex
Listed on 2026-05-21
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IT/Tech
Data Engineer, Data Science Manager, Data Warehousing
Data Architect with Snowflake & Cortex
We are seeking a Data Architect with deep expertise in Snowflake-based data platforms and AI-driven analytics
. This role will lead end-to-end data architecture, drive scalable and secure data solutions, and enable advanced analytics and AI/ML use cases leveraging Snowflake Cortex and modern data stack technologies. The ideal candidate will combine strong technical leadership, hands-on architecture skills, and the ability to collaborate with cross-functional business and technical teams.
We are seeking a Data Architect with deep expertise in Snowflake-based data platforms and AI-driven analytics
. This role will lead end-to-end data architecture, drive scalable and secure data solutions, and enable advanced analytics and AI/ML use cases leveraging Snowflake Cortex and modern data stack technologies. The ideal candidate will combine strong technical leadership, hands-on architecture skills, and the ability to collaborate with cross-functional business and technical teams.
- 8+ years of experience in data architecture, data engineering, or data platform roles with at least 4 years specifically designing and optimizing solutions on Snowflake
- Deep expertise in Snowflake features including warehouses, resource monitors, zero‑copy cloning, Time Travel, data sharing, Snowpark, Tasks/Streams, and security/governance controls
- Strong proficiency in SQL, data modeling (conceptual, logical, physical), ETL/ELT patterns, and cloud data platforms (AWS, Azure, or GCP)
- Proven experience designing secure, scalable architectures for analytics, reporting, and machine learning workloads
- Solid understanding of data governance
, quality, lineage, and compliance (e.g., GDPR, SOC2, HIPAA if applicable) - Bachelor’s or Master’s degree in computer science, Information Systems, Engineering, or a related field, or equivalent experience
- Excellent communication, stakeholder management, and leadership skills
- Lead end‑to‑end data architecture and solution design for Snowflake‑based data platforms including logical/physical data models, ingestion patterns (batch, streaming, Snowpipe), storage layers (raw, curated, consumption/semantic), and consumption patterns for analytics, BI, and AI/ML
- Design and optimize scalable, high‑performance data warehouses, data lakes, and lakehouse architectures on Snowflake focusing on performance tuning, query optimization, cost management, workload/warehouse strategies, and autoscaling
- Architect and implement AI‑powered solutions using Snowflake Cortex including Cortex LLM functions, Cortex Search for semantic/vector/RAG capabilities, Cortex Analyst for conversational analytics, Document AI, and integration with external LLMs (e.g., for fine‑tuning, agents, and multimodal data processing)
- Define and enforce data governance, security, and compliance frameworks including RBAC, row/column access policies, dynamic data masking, encryption, secure data sharing, and private listings
- Design data pipelines integrating with various sources (on‑prem, cloud, SaaS) and orchestration tools; implement real‑time capabilities using Streams, Tasks, and Snowpark (Python/Scala/Java)
- Collaborate with data engineers, analysts, scientists, and business stakeholders to deliver governed, reusable data products that accelerate analytics and AI initiatives
- Provide technical leadership in migrations to Snowflake from legacy systems (e.g., on‑prem warehouses, other clouds) and establish reference architectures, patterns, and standards
- Monitor platform health, optimize for cost/performance, and implement disaster recovery, replication, and high‑availability strategies
- Mentor junior architects and engineers, conduct design reviews, and promote best practices in data modeling (e.g., Data Vault, Kimball, or hybrid semantic modeling) and AI‑ready data foundations
- Hands‑on experience with Snowflake Cortex AI capabilities including Cortex Search, Cortex Analyst, LLM functions, vector embeddings, RAG patterns, and building AI agents or applications within Snowflake
- Snow Pro Core, Advanced, or Architect certifications
- Experience…
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