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.

Qualifications:

Education and Experience

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Data Science, or related field.
• 2+ years hands-on experience with advanced Snowflake features.
• 3+ years in data engineering or solutions architecture roles.
• 7–10 years overall in Data Architecture, Engineering, or Business Intelligence in multi-dimensional environments.
• Proven history building data applications or analytical solutions for business users.

Technical Skills

• Deep hands-on Snowflake platform expertise, including warehousing, lakes, and lakehouse.
• Mastery of RBAC, Snowflake security, data masking, and governance.
• Advanced skills with networking GIT tools, SnowDDL, automated deployment, and IaC.
• Proficiency with Streamlit for interactive data apps.
• Expert SQL and strong Python (Snowpark, data processing) programming skills.
• Experience with data backup, disaster recovery, and retention strategies.

Preferred Qualifications

• Snowflake certifications: SnowPro Core, Advanced Architect, or Data Engineer.
• Hands-on work supporting AI/data science teams; understanding ML workflow.
• Experience with web frameworks, APIs, and microservices.
• Familiarity with AWS, Azure, or Google Cloud data integrations.
• Knowledge of data cataloging, metadata, and governance frameworks.
• Experience with CI/CD tools (GitHub Actions, Jenkins, GitLab, etc.) and IaC platforms (SnowDDL, Terraform, Schemachange).

Why Join Us?

• 100% remote position: Work from anywhere in the U.S.
• Pioneering, high-impact projects in AI and next-gen Snowflake solutions.
• Collaborative culture with a commitment to technical excellence.
• Competitive compensation and robust benefits package.

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