Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Data Architect to play a key role in designing and implementing robust data solutions that help in solving the client’s complex business problem.

REQUIREMENTS

• 10+ years of experience as a Data Architect or similar role, with a strong focus on designing and implementing data solutions using Snowflake.
• In-depth knowledge of Snowflake architecture, including data storage, virtual warehouses, and data sharing functionalities.
• Proficiency in SQL and experience with scripting languages (e.g., Python, SQL) for data manipulation and automation.
• Strong understanding of data integration concepts and tools (e.g., ETL/ELT processes, streaming data pipelines).
• Experience with AWS cloud and familiarity with Snowflake’s integration capabilities with cloud services.
• Strong understanding of the pharmaceutical/ Life Science domain, including knowledge of patient data, Commercial data, drug development processes, and healthcare data.
• Collaborate with data engineers, analysts, and business users to support data visualization, reporting, and analytics initiatives.
• Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders

• Develop and maintain comprehensive data architecture blueprints that align with business objectives and regulatory requirements.
• Design scalable and efficient data models, schemas, and pipelines within the Snowflake data warehouse platform.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications for Snowflake-based solutions.
• Implement data governance and security measures to ensure data integrity, privacy, and compliance.
• Optimize Snowflake performance through query optimization, indexing strategies, and resource utilization monitoring.
• Lead the evaluation and adoption of new Snowflake features and technologies to enhance data management capabilities.