Snowflake
Product Management
SeniorDataEngineer-Product
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer - Product at Snowflake. Skills: Snowflake, Python, SQL, Data Pipelines. Design data pipelines. Develop data pipelines”
What You'll Achieve.
accelerate their work; improve data quality; ensure consistency across pipelines; ensure consistency across dashboards; shape the future of our data ecosystem
Industry & Context.
problem-solving skills
follow confidentiality and security standards, abide by data security plan, keep customer information secure and confidential
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, hands-on experience with Snowflake, data modeling, ETL/ELT development, performance tuning, Advanced proficiency in Python, scripting, automating data workflows, experience working with Spark, building Streamlit applications, command of SQL, Familiarity with cloud platforms, AWS, Azure, GCP, S3, Redshift, BigQuery, problem-solving skills, communication skills
Nice to Have
Master’s degree in Computer Science, understanding of data warehousing principles, architecture, best practices, Experience working within Agile development frameworks
What You'll Do.
Design data pipelines
Develop data pipelines
Maintain data pipelines
Own cost optimization
Manage cost optimization
Optimize pipelines performance
Optimize pipelines reliability
Optimize pipelines efficiency
Build reporting platforms
Maintain reporting platforms
Deliver data solutions
Implement data governance
Implement security best practices
Implement access control policies
Develop data quality checks
Enforce data quality checks
Develop SLA monitoring
Enforce SLA monitoring
Develop dependency tracking
Enforce dependency tracking
Utilize version control systems
Manage deployment workflows
Troubleshoot data issues
How You'll Work.
Team & Collaboration
partner closely with product; partner closely with data scientists; Collaborate with cross-functional teams; part of a collaborative team
Communication Scope
communication skills
Full Job Description
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. We are looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies. In this role, you will design, build, and maintain robust data pipelines, ensuring our data infrastructure is scalable, reliable, and efficient. You will partner closely with product and data scientists, providing tools, automation, and best practices to accelerate their work, improve data quality, and ensure consistency across pipelines and dashboards. Additionally, you will play a critical role in cost optimization for data operations, owning efficient data modeling and pipeline performance. This position is also key in building and scaling our enterprise data warehouse, helping to shape the future of our data ecosystem. Responsibilities - Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies. - Own and manage cost optimization for Product and Data Science team operations. - Optimize pipelines for performance, reliability, and efficiency. - Build and maintain dashboards and reporting platforms using Streamlit. - Collaborate with cross-functional teams to gather requirements and deliver robust data solutions. - Work wi
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