Architect, Snowflake Cortex

Role overview Design and deliver AI applications that use data held in a cloud data warehouse, taking solutions from early architecture through production. The work combines application development with data modeling, governance, performance tuning, and close collaboration with clients and engineering teams.

Responsibilities - Build applications using warehouse-native AI features, including search, analytics, and agent capabilities. - Develop the data pipelines, semantic models, and document processing needed to support reliable AI outputs. - Create full-stack solutions with Python, SQL, and the platform’s application framework; connect external APIs or language model providers where useful. - Apply access controls, masking, and governance policies, and tune queries, compute, and models for security, reliability, and cost. - Lead client workshops and technical discussions, explain design trade-offs, and coordinate delivery with data and application specialists. - Track new platform capabilities and turn useful approaches into reusable engineering patterns.

Requirements - Hands-on experience with the data platform in a data or AI architecture or senior engineering role. - Strong SQL and Python skills, including experience with its Python development framework. - Practical knowledge of the platform’s AI capabilities or experience building language-model applications and the ability to ramp up quickly. - Familiarity with retrieval-augmented generation, semantic search, text-to-SQL, and AI agent patterns. - Understanding of data modeling, ETL or ELT, and workflow orchestration tools such as dbt or Airflow. - Knowledge of data access controls, masking, row-level policies, and secure data sharing; experience with CI/CD, APIs, and a major cloud provider.

Nice to have - A platform certification, or experience with its application framework, native apps, or model fine-tuning. - Background in data science, machine learning, or software engineering. - Experience integrating warehouse solutions with other AI platforms or delivering consulting projects.