Snowflake
From Snowflake's careers page
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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 Services Delivery is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimise, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures and guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augment their business. We advise everyone from developers through senior executives on how best to utilise Snowflake for their data and AI tool suite to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of data and AI.
Customer Engagement & Advisory
Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches
Extract business requirements from customers and translate them into a well-architected recommendation
Develop and provide forward-looking guidance and future-state roadmaps
Leverage known best practices and solutions to reduce risk to customer implementations
Collaborate with Snowflake “Go to Market” teams and product teams to ensure customer alignment to Snowflake goals
Technical Leadership & Architecture
Oversee and advise on the implementation of the customer’s Snowflake platform
Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations
AI/ML Solutions & ML Ops
Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform, ensuring scalability and performance
Provide customers with standard practices and advice related to AI/ML workloads in Snowflake
Define and advise on MLOps (Machine Learning Operations) standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment
Product Adoption
Drive the adoption of Snowflake’s AI product suite (e.g., Cortex, Streamlit in Snowflake, Snowflake Intelligence) within customer solutions
Experience replatforming AI/ML workloads to Snowflake in line with business and operational requirements
Coach and guide customers on how to best leverage Snowflake’s AI product suite to unlock new business value
BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
3 years of technical consulting experience
Experience in a lead role for analytics projects for large enterprises
Experience implementing and operating Snowflake centric solutions
Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring
Familiarity with AI/ML and Transformation technologies
Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale
Proven experience with developing generative AI and LLM use cases
Familiarity with industry common BI and ETL solutions
Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
Familiarity with prompt engineering techniques
Hands-on experience or significant familiarity with building and managing AI/ML workloads
Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer
Experience in the services organization of a product company
Experience in a leadership position executing technical projects
Application Development experience
AWS, Google or Microsoft Cloud certification(s)
Snowflake Snowpro Advanced Certification(s)
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 http://careers.snowflake.com
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