Position: Snowflake AI Data Engineer
Location: NYC, NY (Onsite)
Duration: Fulltime
In-Person interview Required in NYC on this Friday (Only 1 Round Interview to Offer)
Job Description
The Snowflake AI Data Engineer / Lead serves as the onsite technical lead, driving Snowflake-native AI, GenAI, and advanced data engineering on AWS Cloud. This role requires deep expertise in Snowflake, Cortex AI, Snowpark (Python), and Talend ETL, with ownership of delivering AI/ML and LLM-powered solutions directly within the Snowflake ecosystem, while coordinating with offshore teams.
Key responsibilities include designing and implementing Cortex-driven AI solutions using LLM capabilities (COMPLETE, CHAT, SUMMARIZE), embeddings (EMBED_TEXT), vector search, and RAG architectures, enabling AI copilots, semantic search, and intelligent analytics on enterprise data. Ownership of Snowflake platform architecture (schemas, views, streams, tasks, Snowpipes) is required, along with enforcing performance optimization best practices (warehouse sizing, clustering, query tuning) and implementing secure data access using RBAC, masking, and row/column-level controls.
The role includes leading data engineering and integration pipelines (batch and near real-time) using Talend, Qlik Replicate, and Snowpipe, ensuring data quality, reconciliation, and schema evolution, and enabling ingestion from diverse source systems. Guiding SQL, Python, and ELT transformations, and enabling AI/ML workflows using Snowpark and integration with platforms such as Databricks, SageMaker, and Azure ML.
Additional responsibilities include delivering AI-driven use cases such as claims triage, fraud detection, risk scoring, premium leakage, and pricing analytics, leveraging Snowflake-native AI capabilities and Python-based data science frameworks, and supporting CI/CD-driven deployments and automation.
Skills & Qualifications
Strong experience in Snowflake, Cortex AI, Snowpark (Python), Talend ETL, and AWS Cloud
Hands-on expertise in LLMs, embeddings, vector search, and RAG architectures within Snowflake
Proven leadership in Snowflake architecture, performance optimization, and scalable data platforms
Deep experience in data engineering, ELT pipelines, and real-time/batch data integration
Experience enabling AI/ML workloads and feature engineering within Snowflake environments
Strong knowledge of data security frameworks (RBAC, masking, row/column-level controls)
Domain experience in insurance or financial services
Advanced proficiency in SQL and Python, with ability to lead engineering teams
Best Regards,
Vishal
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