Snowflake Principal Architect: Delivering High-Performance Data Solutions
3 weeks ago
Tiger Analytics, a leading AI and analytics consulting firm, is seeking a skilled Snowflake Principal Architect to join our team. As a key member of our data solutions group, you will be responsible for designing, implementing, and optimizing our Snowflake data warehouse environment.
About Us
Tiger Analytics is a global organization with offices in multiple cities across India, the US, the UK, Canada, and Singapore. We are Great Place to Work-CertifiedTM and committed to fostering a culture of expertise and respect. Our teams work together to solve complex problems that impact the lives of millions globally.
Key Responsibilities:
- Lead the development of technical solutions for Snowflake-based projects, ensuring alignment with business requirements.
- Provide detailed technical specifications, encompassing data models, ETL processes, and integration points.
- Incorporate innovative approaches, such as leveraging generative AI, to enhance Snowflake solutions for advanced analytics and predictive modeling.
- Ensure cost-effective solutions by considering the Snowflake cost model and implementing optimizations where applicable.
- Prioritize data quality and governance in solution design, implementing best practices to maintain accuracy and integrity.
- Stay updated on Snowflake's latest features, integrating them into project designs for enhanced functionality.
Benefits:
- $120,000 - $180,000 annual salary, depending on experience.
- Ongoing education and certification opportunities in Snowflake and related technologies.
- A collaborative and dynamic work environment with a strong focus on innovation and continuous learning.
- A competitive compensation package, including health insurance, retirement plans, and paid time off.
Requirements:
- 15-18 years of experience in Snowflake architecture, data modeling, and ETL processes.
- Minimum of 2 project implementations in Snowflake, showcasing a strong understanding of its architecture and capabilities.
- Proficient in handling high-volume data, leading large-scale data migrations, and optimizing costs within the Snowflake environment.
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