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.
LEAD. STRATEGIZE. TRANSFORM.
We are seeking an advanced professional handling complex enterprise AI/ML deployments, deconstructing system dependencies, and ensuring production robustness.
WHY THIS ROLE?
This role marks a shift from managing tactical tasks to managing strategic outcomes. You are a seasoned professional with a full understanding of your specialization, resolving a wide range of issues in creative ways.
WHAT YOU'LL DO:
Design robust, scalable AI/ML solutions utilizing the full Snowflake native stack and partner ecosystem.
Perform deep-dive Root Cause Analysis (RCA) for complex system dependencies in AI/ML solutions.
Collaborate cross-functionally with Sales and Product teams to align technical roadmaps with customer ROI.
Mentor Level 3 architects on best practices for MLOps and architectural design.
TECHNICAL DEPTH & RISK MANAGEMENT:
Distributed Systems: Deconstruct failures in complex pipelines involving external cloud services (AWS/Azure/GCP).
Predictive Failure Analysis: Critically think about potential failure modes like model drift and data skew early in the lifecycle.
Governance: Architect data security and access controls specifically for sensitive AI/ML training data.
SNOWFLAKE-NATIVE TECH STACK:
Snowflake Model Registry, Cortex Functions, Python, External MLOps (Kubeflow/SageMaker).
OUR IDEAL CANDIDATE WILL HAVE:
Typically requires a minimum of 8 years of related experience with a Bachelor's degree (Radford L4 equivalent).
Seasoned professional expertise in resolving wide-ranging issues in creative ways.
Strong executive communication: Ability to present complex AI/ML concepts and ROI to technical and business audiences.
Reduction in post-deployment technical debt; Regional success of complex implementations; Peer mentorship impact.
Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
BONUS POINTS FOR HAVING :
Experience with GenerativeAI, LLMs and Vector Databases.
Experience with Databricks/Apache Spark.
Experience implementing data pipelines using ETL tools.
Experience working in a Data Science role.
Proven success at enterprise software.
Vertical expertise in a core vertical such as FSI, Retail, Manufacturing, etc.
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
- Minimum 8 years of related professional experience
- Bachelor's degree
- Expertise resolving complex, wide-ranging technical issues
- Strong executive communication skills for technical and business audiences
- Thorough understanding of the complete data science lifecycle
- Experience with feature engineering, model development, model deployment, and model management
- Experience with generative AI, LLMs, and vector databases
- Experience with Databricks or Apache Spark
- Experience implementing data pipelines using ETL tools
- Experience working in a Data Science role
- Proven success in enterprise software
- Vertical expertise in FSI, Retail, Manufacturing, or another core industry
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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Fair & Transparent Compensation — Pay is considered competitive across many roles, and the company highlights structured practices aimed at pay equity. Total compensation is often described as strong at senior levels when equity and bonuses are included.
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Equity Value & Accessibility — Equity grants and an ESPP are standard, making ownership accessible and a meaningful part of total rewards. New-hire RSUs and ongoing equity alongside bonus/commission programs are emphasized.
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Healthcare Strength — Comprehensive medical coverage is offered with programs like Lyra providing up to 25 no-cost therapy/coaching sessions, alongside HSA-eligible plans. Wellness resources and additional clinical programs (such as Omada for certain conditions) broaden the scope of support.
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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