At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is growing fast and we’re scaling our team to help enable and accelerate our growth. We’re passionate about our people, our customers, our values and our culture! We’re also looking for people with a growth mindset and the pragmatic insight to solve for today while building for the future. And as a Snowflake employee, you will be accountable for supporting and enabling diversity and belonging.
Snowflake’s culture was built on the following values that are even more important to us today:
Put Customers First. We only succeed when our customers succeed
Integrity Always. Be open, honest, and respectful
Think Big. Be ambitious and have big goals
Be Excellent. Quality and excellence count in everything we dona
Get It Done. Results matter!
Own It
Make Each Other the Best
Embrace each others’ Differences
What you will be doing
Data Infrastructure & Pipeline DevelopmentDesign, build, and launch production-ready data models and data pipelines that scale effectively
Implement enterprise-grade data governance frameworks and maintain data quality standards
Develop and optimize data ingestion processes from various enterprise needs.
Participate actively in Agile ceremonies including daily standups, sprint planning, sprint reviews, and retrospectives
Build strong relationships with stakeholders at all levels, from executive to operational teams
Lead quality assurance efforts by defining testing strategies and identifying potential risks
Ensure timely identification, tracking, and resolution of technical issues
Align to Product roadmap in building tools for data platform also provide product feature feedbacks as customer
Mature requirements gathering processes and follow Agile methodologies for data product development
Proactively adapt to changing business requirements while maintaining solution integrity
What we need to see
Education & ExperienceBachelor's degree in Computer Science, Information Systems, or related field (preferably with emphasis on system design and database warehousing/modeling), or equivalent experience
2-5 years of direct experience developing and managing data pipelines for ingestion and transformation
Demonstrated expertise with modern cloud data infrastructure and data modeling techniques
Required: Experience with data pipeline development, ETL/ELT processes, and data warehousing concepts,Experience with SQL, Python
Preferred: Knowledge of Snowflake, Apache Airflow, and dbt (data build tool)
Desired:Cloud infrastructure (AWS, Azure, or GCP)
Understanding of data governance principles and best practices
Excellent written and verbal communication skills to effectively convey technical concepts
Strong attention to detail and results-oriented mindset
Ability to adapt quickly to changing requirements and priorities
Commitment to exceptional customer service and quality deliverables
Collaborative approach to problem-solving with cross-functional teams
Self-motivated with the ability to work independently and as part of a team
Effective time management and organizational skills
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Skills Required
- Bachelor's degree in Computer Science, Information Systems, or related field
- 2-5 years of direct experience developing and managing data pipelines
- Experience with data pipeline development and ETL/ELT processes
- Experience with SQL and Python
- Knowledge of Snowflake, Apache Airflow, and dbt
- Understanding of data governance principles and best practices
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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