Snowflake Solutions Engineer

Are you passionate about next-generation data engineering, AI, and modern cloud technologies? Our company is seeking an innovative and driven Snowflake Solutions Engineer to join our IT team in a fully remote capacity. In this role, you will lead the design and implementation of advanced Snowflake-native applications and AI-powered data solutions, creating measurable business impact utilizing Snowflake's latest platform features. This is an exceptional opportunity to work at the forefront of data, leveraging Streamlit, Cortex AI, and emerging Snowflake technologies.

Key Responsibilities:

Snowflake Native Application Development (30%)Design and build interactive data applications using Snowflake Streamlit to enable intuitive, self-service analytics and operational workflows for business users.

Develop reusable frameworks and component libraries for rapid application delivery.

Integrate Snowflake Native Apps and third-party marketplace applications to continuously extend platform capabilities.

Create custom UDFs and stored procedures to support advanced business logic.

Data Architecture and Modern Platform Design (30%)Develop cutting-edge data architecture solutions spanning data warehousing, data lakes, and lakehouse approaches.

Implement medallion (bronze-silver-gold) patterns to maintain data quality and governance.

Recommend optimal architecture patterns for structured analytics, semi-structured data, and AI/ML workloads.

Establish best practices for data organization, storage optimization, and query performance.

AI & Advanced Analytics Collaboration (15%)Partner with AI/data science teams to support and enhance Snowflake-based AI workloads.

Enable implementation of Snowflake Cortex AI features for practical business cases.

Guide data access and feature engineering for ML model requirements.

Contribute platform expertise to AI proof-of-concept initiatives.

Security, Governance, & Technical Leadership (15%)Design and implement RBAC hierarchies, enforcing least privilege principles.

Define security best practices including network policies and encryption; implement row/column security and data masking.

Apply tag-based policies for advanced governance.

Monitor and optimize application performance, cost, and user experience.

Lead architectural discussions, create technical documentation, and share best practices.