Build the future of the AI Data Cloud. Join the Snowflake team.
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
Create efficient data transformation workflows to prepare data for business intelligence and analytics
Partner with data scientists, product managers, and business stakeholders to understand and address data requirements
Work closely with business application owners to ensure seamless automation and data management processes
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
Build deep data expertise and take ownership of data quality for assigned business domains
Align development efforts with the product roadmap when building tools and solutions
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
3-10 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
Preferred: Knowledge of Snowflake, Apache Airflow, and dbt (data build tool)
Desired: Experience with SQL, Python, and 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
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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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