Posted 6mo ago

Snowflake Data Architect

@ Tiger Analytics
Houston, Texas, United States
HybridFull Time
Responsibilities:design models, build semantic, lead warehousing
Requirements Summary:12+ years data engineering, data warehousing, cloud architecture; 8+ years client-facing; Snowflake; ETL/ELT; BI tools; cloud platforms; data governance; MLOps
Technical Tools Mentioned:Snowflake, Power BI, SQL, Azure, AWS, GCP, Airflow, Azure Data Factory, DBT
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Job Description

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for an experienced Snowflake Data Architect to design and implement scalable data models, optimize performance, and enable seamless data access for analytics and reporting. The ideal candidate will have a strong background in data modeling, data warehousing, and Snowflake platform architecture, with hands-on experience integrating with Power BI or other BI tools.

Key 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.