Snowflakes Data Architect

Role : Snowflakes Data Architect

Duration : Long Term Contact

Location : New York Hybrid F2F interview

Job Description:
Key Responsibilities 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 AIML Design and optimize scalable highper formance data warehouses data lakes and lakehouse architectures on Snowflake focusing on performance tuning query optimization cost management workload warehouse strategies and auto scaling 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 eg for finetuning agents and multimodal data processing Define and enforce data governance security and compliance frameworks RBAC row column access policies dynamic data masking encryption secure data sharing and private listings Design data pipelines integrating with various sources onprem cloud SaaS and orchestration tools implement realtime 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 eg 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 eg Data Vault Kimball or hybrid semantic modeling and AIready data foundations

Required Qualifications

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 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 ETLELT patterns and cloud data platforms AWS Azure or Google Cloud Platform Proven experience designing secure scalable architectures for analytics reporting and machine learning workloads Solid understanding of data governance quality lineage and compliance eg GDPR SOC2 HIPAA if applicable Bachelors or Masters degree in Computer Science Information Systems Engineering or a related field or equivalent experience Excellent communication stakeholder management and leadership skills Preferred Skills

Experience Handson experience with Snowflake Cortex AI capabilities Cortex Search Cortex Analyst LLM functions vector embeddings RAG patterns and building AI agents or applications within Snowflake SnowPro Core Advanced or Architect certifications Experience with modern data stack tools dbt Airflow Kafka Spark Fivetran Matillion or similar Knowledge of AIML workflows vector databases semantic search and integrating structure dunstructured data for generative AI Background in Data Vault 20 dimensional modeling or domain driven design Experience in regulated industries finance healthcare pharma or largescale enterprise environments is a plus