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Snowflake
3.9
based on 27 Reviews
Company Overview
Company Locations
Working at Snowflake
Company Summary
Overall Rating
3.9/5
based on 27 reviews

5% above
industry average

Highly rated for
Salary, Company culture, Work-life balance

Critically rated for
Promotions
Work Policy

Monday to Friday
76% employees reported

Flexible timing
84% employees reported

No travel
77% employees reported
View detailed work policy
Top Employees Benefits
Joining goodies
1 employee reported
Recreational activities
1 employee reported
Free meal
1 employee reported
Cafeteria
1 employee reported
View all benefits
About Snowflake
Founded in--
India Employee Count201-500
Global Employee Count1k-5k
HeadquartersBozeman, Montana , USA
Office Locations
--
Websitesnowflake.com
Primary Industry
Other Industries
--
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Snowflake Ratings
based on 27 reviews
Overall Rating
3.9/5
How AmbitionBox ratings work?
5
12
4
7
3
1
2
4
1
3
Category Ratings
4.3
Salary
4.1
Company culture
3.9
Work-life balance
3.7
Job security
3.6
Work satisfaction
3.4
Skill development
3.2
Promotions
Snowflake is rated 3.9 out of 5 stars on AmbitionBox, based on 27 company reviews.This rating reflects an average employee experience, indicating moderate satisfaction with the company’s work culture, benefits, and career growth opportunities. AmbitionBox gathers authentic employee reviews and ratings, making it a trusted platform for job seekers and employees in India.
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Snowflake Reviews
Top mentions in Snowflake Reviews
Compare Snowflake with Similar Companies
Change Company | Change Company | Change Company | ||
---|---|---|---|---|
Overall Rating | 3.9/5 based on 27 reviews | 3.4/5 based on 426 reviews | 3.8/5 based on 257 reviews | 3.7/5 based on 270 reviews |
Highly Rated for | Salary Company culture Work-life balance | No highly rated category | Work-life balance Salary Company culture | Job security |
Critically Rated for | Promotions | Promotions Salary Job security | Skill development Work satisfaction | Salary Promotions |
Primary Work Policy | - | Hybrid 43% employees reported | - | Work from office 92% employees reported |
Rating by Women Employees | 4.0 Good rated by 8 women | 3.3 Average rated by 86 women | 3.3 Average rated by 52 women | 4.0 Good rated by 42 women |
Rating by Men Employees | 3.9 Good rated by 17 men | 3.4 Average rated by 316 men | 3.9 Good rated by 181 men | 3.7 Good rated by 214 men |
Job security | 3.7 Good | 3.0 Average | 3.4 Average | 4.1 Good |
View more
Snowflake Salaries
Snowflake salaries have received with an average score of 4.3 out of 5 by 27 employees.
Data Scientist
(9 salaries)
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₹5 L/yr - ₹10.7 L/yr
Data Engineer
(9 salaries)
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₹10 L/yr - ₹32.8 L/yr
Data Analyst
(7 salaries)
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₹6 L/yr - ₹24.8 L/yr
Senior Data Engineer
(5 salaries)
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₹28.5 L/yr - ₹52 L/yr
Solution Architect
(5 salaries)
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₹46 L/yr - ₹80 L/yr
Analyst
(5 salaries)
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₹11 L/yr - ₹15 L/yr
Software Engineer
(5 salaries)
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₹20 L/yr - ₹50 L/yr
Senior Security Engineer
(5 salaries)
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₹31 L/yr - ₹42 L/yr
Cloud Devops Engineer
(4 salaries)
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₹8.9 L/yr - ₹26.5 L/yr
Information System Engineer
(4 salaries)
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₹8.9 L/yr - ₹27.6 L/yr
Snowflake News
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Connected Data, Better Insights: Data Enrichment Done Right
- Change is a constant in business, with technology disruptions like AI, machine learning, and cloud computing shaping the landscape.
- Data enrichment, combined with AI applications, helps in deriving valuable insights by integrating external information with internal data.
- The accuracy, speed, and scale of data enrichment have evolved to make data-driven decision-making more efficient.
- Data enrichment augments internal data with third-party datasets, providing real-world context that uncovers hidden patterns for more informed decisions.
- Standardizing datasets from multiple providers poses a challenge, requiring resolving duplicates and ensuring consistency with each new data source.
- A new solution, akin to a 'universal data adapter,' simplifies data enrichment with pre-linked datasets, offering faster time-to-value and reduced complexities.
- Data Link Solution brings together data providers to facilitate rapid discovery, connection, and utilization of essential data for analytics and operations.
- Utilizing curated datasets and apps for tasks like geo addressing within platforms like Snowflake AI Data Cloud enhances operational efficiency.
- Connecting data through unique identifiers enables more informed decision-making by aligning data from various sources seamlessly.
- Seamlessly enriching data from multiple sources accelerates time-to-value with meaningful insights, paving the way for further advancements in data enrichment.
Precisely | 20 Mar, 2025

Comparing DuckDB, Snowflake, and Databricks
- The exponential growth of data has led to the rise of data platforms like DuckDB, Snowflake, and Databricks, reshaping data processing.
- DuckDB is a lightweight, in-process analytical database focused on SQL queries for quick analyses of local datasets.
- Snowflake revolutionizes data warehousing with cloud-native architecture, offering comprehensive data storage and processing.
- Databricks provides a unified platform for big data processing and machine learning, building on Apache Spark's power.
- DuckDB operates within the host application, leveraging self-hosted execution, columnar storage, and vectorized query execution.
- Snowflake's architecture includes multi-cluster shared resources, cloud storage with proprietary layer, and virtual warehouses.
- Databricks combines Apache Spark with proprietary technologies for data engineering, analytics, and machine learning.
- DuckDB is ideal for quick data analyses, embedded analytics, and local data processing scenarios.
- Snowflake excels in centralized data repository, BI reporting, data sharing, AI/ML, and large-scale enterprise data pipelines.
- Databricks caters to advanced analytics, machine learning, real-time data processing, and large-scale ETL tasks.
Dzone | 19 Mar, 2025

Snowflake Cost Optimization Techniques
- Snowflake is a cloud-based data warehousing platform that requires cost optimization to manage large datasets economically.
- Understanding Snowflake's pricing model, which includes storage, compute, and cloud services costs, is crucial for effective cost management.
- Optimizing virtual warehouse usage by right-sizing, auto-suspending, and using multi-cluster warehouses can reduce compute costs.
- Data clustering, partitioning, and compression techniques help to improve query performance and lower compute costs.
- Implementing data compression, archiving, and retention policies can lead to significant cost savings in Snowflake storage.
- Monitoring and optimizing query performance, controlling cloud services costs, and utilizing Snowflake features like data sharing are essential for cost optimization.
- Establishing cost governance, leveraging caching capabilities, and adopting a data lifecycle management strategy contribute to effective cost management in Snowflake.
- Regular audits, proper access controls, and leveraging caching capabilities can lead to significant savings and improved performance in Snowflake.
- Snowflake's flexibility can be harnessed effectively with cost optimization techniques to manage large datasets economically.
- Continuous monitoring and optimization are key to ensuring a cost-effective solution for managing large-scale data in Snowflake.
Javacodegeeks | 19 Mar, 2025

EuroPython: Keynote & Ticket Sales Announcement!
- EuroPython 2025 has announced Savannah Ostrowski as a keynote speaker, a Python Core Developer and product lead at Snowflake.
- Ticket sales for EuroPython 2025 will begin soon, with limited tutorial spaces available.
- Sponsorship opportunities are open for EuroPython 2025 with various tiers and optional add-ons.
- Financial aid is available for EuroPython 2025, offering grants for conference tickets, travel/accommodation, and visa application fees.
- An Early Bird 10% discount is offered for sponsorship sign-ups by March 28th.
- EuroPython's YouTube channel has popular talks on topics ranging from Python development to OpenCV.
- The EuroPython Society oversees the conference organization and grants program, with regular updates shared in board reports.
- EuroPython actively supports regional Python events and communities, fostering the broader Python ecosystem.
- Upcoming Python events include PyCon Austria, PyCon Lithuania, DjangoCon Europe, and many more across Europe.
- EuroPython Prague is scheduled from July 14th to July 20th, offering a platform for Python enthusiasts to connect and learn.
PlanetPython | 18 Mar, 2025

Future-Proof Your Company’s AI Strategy: How a Strong Data Foundation Can Set You Up for Sustainable Innovation
- Business leaders are focusing on sustainable innovation by establishing a strong data foundation for future technologies.
- Creating a robust data layer is crucial for future-proofing AI investments and ensuring sustainable growth.
- Aligning data and AI programs leads to improved efficiency and better use of AI capabilities.
- Companies linking data to AI development experience outsized growth and impactful financial results.
- To strengthen a data foundation, companies need to consider specific business outcomes and optimize data for efficiency.
- Best practices include ensuring data quality and governance, enhancing data security, privacy, and compliance, exploring strategic partnerships, and fostering a data-driven culture.
- Companies like SAP and Black Kite utilize AI for data quality, governance, and risk management in their operations.
- Strategic partnerships with companies like Databricks and Snowflake can help structure data for AI success.
- Amazon is a prime example of a company fostering a data-driven culture and leveraging AI extensively for business decisions.
- Business leaders foresee AI transforming businesses in the next two years, emphasizing the importance of data quality for progress.
Unite | 18 Mar, 2025

Startup news and updates: Daily roundup (March 17, 2025)
- Amazon is considering spinning off its India division and listing it in the country, engaging with investment banks for the process.
- Snowflake launches Cortex Agents aimed at data retrieval, business insights, and enhancing AI for enterprises.
- Entrust Family Office plans expansion into new cities and verticals due to the rise in high-net-worth individuals (HNIs) in India.
- Swiggy Instamart extends its services to 100 cities, witnessing increased demand from Tier II and III markets.
- Ola Electric's shares drop to a 52-week low following an insolvency petition against its EV-making unit by Rosmerta Digital Services.
- Salesforce collaborates with Ather Energy to streamline automotive dealership operations with a new dealer management system.
- $2 billion institutional investment in Binance by MGX marks the largest investment in a crypto company, paid in stablecoins.
- Chai Kings secures $3 million in Series A funding from A.V. Thomas and Co. to support expansion and enhance operational efficiency.
- IFC proposes investment in A91 Partners' third fund to support venture capital growth in developing countries with up to $35 million equity investment.
- D2L appoints Vivek Iyer as Managing Director for India to drive expansion plans and strengthen relationships with educational institutions.
Yourstory | 17 Mar, 2025

How agentic AI is reshaping data management; Honouring the textiles of Karnataka
- Intelligence assessments show a decline in reasoning, problem-solving, and critical thinking skills among people, especially the younger generation, attributed to changes in information consumption habits.
- A study on twins suggests a close correlation between rational decision-making and general intelligence, indicating that irrational choices may indicate lower intelligence levels.
- Snowflake, an AI data-cloud firm, is reshaping data management with Cortex Agents, AI tools aimed at efficient data retrieval and analysis for business insights.
- The 'Pampa: Textiles of Karnataka' exhibition in Hampi celebrates the ancient textiles of Karnataka, showcasing the state's lesser-known textile heritage and empowering artisans.
- UBS CEO Sergio Ermotti's pay package in 2024 exceeded 15 million Swiss francs, while India and New Zealand have restarted free trade agreement negotiations after a 10-year hiatus.
- China's Baidu introduces new AI models in the fierce AI race, along with global market cues regarding US Federal Reserve meetings and the Bank of Japan's policy board.
- The Indian Industries Association will host the Build Bharat Expo 2025 to promote industrial innovation and business cooperation among micro, small, and medium enterprises.
- Trivia: The city that endured a 900-day siege during World War II was Leningrad in the USSR, lasting 872 days.
Yourstory | 17 Mar, 2025

‘Agent is the atomic unit for AI’: Snowflake’s Baris Gultekin
- Enterprises are shifting towards agentic systems post generative AI, focusing on data retrieval accuracy for AI agents like Cortex Agents by Snowflake.
- Snowflake, a cloud-based data warehousing platform, has over 10,000 global customers and is venturing into AI and advanced analytics for secure data governance.
- Baris Gultekin, Head of AI at Snowflake, highlights the strategic partnerships driving Cortex Agents' adoption in the market, especially in India.
- Snowflake's AI vision involves easy, efficient, and trusted AI integration with a focus on customers adopting AI directly alongside their data.
- The Cortex Analyst tool enables businesses to query business intelligence data using natural language, enhancing enterprise AI adoption.
- Snowflake's Cortex Agents set themselves apart in the market by focusing on 'data agents' specialized in handling both structured and unstructured data.
- Prominent customers like Bayer, Siemens Energy, and S&P Global are leveraging Snowflake's AI offerings for enhanced business intelligence analytics.
- Snowflake emphasizes governance, accuracy, and cost-effectiveness to address customer concerns and provide a strong ROI in AI adoption.
- Snowflake's future enhancements for Cortex Agents include scaling Cortex Analyst and improving Cortex Search, with a significant focus on the strategic market of India.
- Agents are portrayed as the future of AI, capable of orchestrating tasks and integrating with various tools, with Snowflake's focus on governance and accuracy setting it apart in the evolving AI landscape.
Yourstory | 17 Mar, 2025

All Data and AI Weekly #180 - 10-March-2025
- The latest issue of AI, Data and AI Weekly highlights various topics including NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, and SQL in the context of data and AI.
- It also includes links to several cool stuff, new models, and upcoming events related to Snowflake, as well as recent projects and technologies, such as RAG, Python, Java, Snowflake, and Streamlit.
- The newsletter also provides substantial information about Tim Spann's talks, demos, and projects, including AIM Ghosts, Advanced RAG Techniques, and more.
- The technologies highlighted in the newsletter include Python, Java, Snowflake, Streamlit, AWS, Google Cloud, and Azure.
Dev | 11 Mar, 2025

5 Interesting Learnings from Snowflake at ~$4 Billion in ARR
- Snowflake has achieved approximately $4 billion in ARR.
- Snowflake experienced 28% revenue growth and 44% free-cash flow in the last quarter.
- Snowflake has 11,159 customers with an average revenue of $360,000 per customer.
- Snowflake's NRR (Net Revenue Retention) stands at an impressive 126%.
Saastr | 5 Mar, 2025
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Snowflake FAQs
Where is the Snowflake headquarters located?
Snowflake is headquartered in Bozeman, Montana.
How many employees does Snowflake have in India?
Snowflake currently has approximately 300+ employees in India.
Does Snowflake have good work-life balance?
Snowflake has a Work-Life Balance Rating of 3.9 out of 5 based on 20+ employee reviews on AmbitionBox. 70% employees rated Snowflake 4 or above, while 30% employees rated it 3 or below on work-life balance. This indicates that the majority of employees feel a generally balanced work-life experience, with some opportunities for improvement based on the feedback. We encourage you to read Snowflake work-life balance reviews for more details
Is Snowflake good for career growth?
Career growth at Snowflake is rated as moderate, with a promotions and appraisal rating of 3.2. 30% employees rated Snowflake 3 or below, while 70% employees rated it 4 or above on promotions/appraisal. This rating suggests that while some employees view growth opportunities favorably, there is scope for improvement based on employee feedback. We recommend reading Snowflake reviews for more detailed insights.
What are the pros and cons of working in Snowflake?
Working at Snowflake comes with several advantages and disadvantages. It is highly rated for salary & benefits, company culture and work life balance. However, it is poorly rated for promotions / appraisal, based on 20+ employee reviews on AmbitionBox.
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