Snowflake Data Architect

About the role

Tiger Analytics is seeking an experienced Snowflake Data Architect to join our dynamic team. This role requires a deep understanding of data modeling, data warehousing, and Snowflake platform architecture.

Responsibilities

• Design and develop logical and physical data models in the Snowflake environment to support analytical and reporting needs
• Build and maintain semantic data layers to ensure smooth integration with Power BI and other visualization tools
• Lead the design and implementation of data warehousing solutions aligned with business requirements
• Perform query and performance tuning to optimize Snowflake workloads and resource utilization
• Define and enforce data security, access controls, and governance within the Snowflake platform
• Collaborate with business and analytics teams to translate requirements into scalable data architecture solutions
• Provide best practices and guidance for Snowflake development, data modeling, and data pipeline optimization

Requirements

• 12+ years of progressive experience in data engineering, data warehousing, and cloud architecture roles
• Minimum of 8+ years specifically in a client-facing role, designing and implementing large-scale data migration projects
• Strong experience in data modeling (conceptual, logical, physical) within the Snowflake environment
• Strong expertise in data warehousing concepts and ETL/ELT processes
• Hands-on experience with Snowflake performance tuning, clustering, and security setup
• Working knowledge of Power BI or similar BI tools, with experience building semantic layers
• Proficiency in SQL and understanding of data governance and security principles
• Experience with cloud data platforms (Azure, AWS, or GCP)
• Familiarity with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory, DBT)
• Participate in fast iteration cycles, adapting to evolving project requirements
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
• Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment
• Ability to work with a global team, playing a key role in communicating problem context to the remote teams

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.