Snowflake Data Architect

Job Description 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. 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.