Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 4000+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce.

We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

As a Snowflake-Principal Data Architect your work is a combination of hands-on contribution to designing, implementing, and optimizing our Snowflake data warehouse environment. The ideal candidate will possess deep expertise in Snowflake architecture, data modeling, and ETL processes, along with a proven track record of successfully delivering scalable and high-performance data solutions.

On a typical day, you might

• 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.

• Foster a culture of continuous learning and improvement within the project delivery process.

• Support business proposals by providing solution approaches, detailed estimations, and technical insights.

• Collaborate with project management and other stakeholders to ensure estimations align with overall project goals.

• Consider Snowflake cost models in proposal estimations, optimizing costs for storage, compute, and data

• transfer.

• Advocate for data quality and governance practices in proposals to enhance the reliability of delivered solutions.

• Stay informed about the latest features in Snowflake, incorporating them into proposals for cutting-edge offerings.

• Contribute innovative ideas based on industry trends to make business proposals forward-thinking.

• Contribute to the organization's success by building reusable frameworks, tools, and accelerators for Snowflake implementations.

• Support the development of horizontal Snowflake practices, fostering collaboration and knowledge sharing across teams.

• Actively participate in the Snowflake community, staying updated on the latest features, industry trends, and best practices.

• Promote a culture of innovation, encouraging team members to explore and implement cutting-edge solutions in Snowflake projects.

• Ensure the reusability of components aligns with cost optimization strategies outlined in the Snowflake cost model.

• Advocate for data quality and governance in the development of reusable components to maintain consistency.

• Incorporate the latest features of Snowflake into reusable components to ensure they remain current and effective.

• Actively participate in relevant conferences, webinars, and forums to stay updated on industry advancements.

• Pursue ongoing education and certification in Snowflake and related technologies to maintain a cutting-edge skill set.

• Share insights on cost optimization, data modeling best practices, and the utilization of Snowflake features during collaborative efforts.

• 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.

• Decent experience in SQL, query optimization techniques, and implementing data security and governance
 practices in Snowflake.

• Decent experience in Snowflake architecture, data modeling, and ETL processes.

• Should have hands-on knowledge of implementing data acquisition strategies, designing integration
 workflows, and building consumption layers within Snowflake.

• Expertise in Snowflake cost models and demonstrated experience in cost optimization will be an added
 advantage.

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.

We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.