CA-Menlo Park•Posted: Apr 2•Deadline: Aug 17
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.
Founded by industry experts and backed by strategic investors, our disruptive built-for-the-cloud architecture was designed to
push the limitations of conventional data warehousing. Our teams breed ambition, challenge ordinary thinking, and push the pace of
innovation in service of the exploding demand for accessible data.
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 started with a clear vision: make modern data warehousing effective, affordable, and accessible to all data users.
Because traditional on-premises and cloud solutions struggle with this, Snowflake developed an innovative product with a new
built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the
elasticity of the cloud at a fraction of the cost of traditional solutions.
We are looking for a Data Architecture Lead to join our Data, Analytics, and AI organization. This is a senior individual
contributor role with principal-level scope. You will set the technical direction for how our data and analytics engineering teams
build, govern, and evolve the data platform — and you'll be a hands-on practitioner who shapes what's possible.
This role an in office requirement - you must be able to work out of our Menlo Park office for a minimum of 3 days a week.
IN THIS ROLE YOU WILL
* Define and deploy architectural standards across analytics and data engineering teams, covering data modeling patterns in dbt,
RBAC frameworks, deployment workflows, and code quality standards
* Build and deploy AI-powered tooling and skills — including agent frameworks, prompt-driven workflows, and LLM-enabled
automation — for use across analytics and data engineering teams
* Elevate the RBAC framework for the data platform, including designing and implementing row access policies, column masking
policies, and role-based access control patterns at scale in Snowflake
* Partner with Snowflake's product and engineering teams on feature testing and feedback — write meaningful product
specifications, develop proof-of-concepts, and help push the Snowflake platform forward
* Represent Snowflake's internal data capabilities externally, meeting with customers to demonstrate what is possible on the
platform and sharing real-world architectural patterns and learnings
* Act as a strategic lever across teams — bridging data engineering and analytics engineering to drive alignment, reduce
redundancy, and raise the technical bar organization-wide
* Enable the team through documentation, knowledge sharing, and mentorship — setting standards that scale beyond your own direct
contributions
WHAT YOU WILL NEED
REQUIRED
* 8+ years of experience in data engineering, analytics engineering, or data architecture roles
* Deep expertise in Snowflake, including advanced data modeling, performance optimization, RBAC design and the broader Snowflake
feature set (Cortex, Dynamic Tables, Streams, Tasks, etc.)
* Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and
large-scale project management
* Hands-on experience with Airflow or similar orchestration platforms for data pipeline management
* Strong proficiency with AI development tools, including experience with LLM-powered workflows, agent frameworks (e.g., Cortex
Agents, Claude Code, Cortex Code), and prompt engineering for data use cases
* Experience designing and implementing RBAC frameworks at scale — including row access policies, masking policies, and role
hierarchies in Snowflake or similar platforms
* Excellent written and verbal communication skills, with a track record of writing clear technical specs, architecture
documents, and stakeholder-facing materials
* Ability to operate with principal-level scope: driving cross-functional initiatives, influencing without authority, and
delivering outcomes across multiple teams
PREFERRED
* Experience working at a technology company with a large-scale internal data platform
* Prior experience building or contributing to internal developer tooling, shared libraries, or platform-as-a-product initiatives
* Familiarity with Python for data pipeline development, scripting, and automation
* Experience presenting technical content to external audiences (customers, conferences, etc.)
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's
duty to keep customer information secure and confidential.
Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to
age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion,
pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
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
CA-Menlo Park•Posted: Feb 26•Deadline: Aug 17
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.
ABOUT THE ROLE
The Cortex Apps team is defining the future of AI for enterprise data. Our mission is to transform how the world’s largest
enterprises interact with their data through flagship products like Snowflake Intelligence.
As a Principal AI Engineer, you will be a technical North Star for our AI initiatives. You won't just execute on a roadmap; you
will help define it. You will tackle the most complex, "frontier" problems in agentic reasoning, NL-to-SQL, and enterprise-scale
RAG, ensuring our AI products are not only innovative but fundamentally reliable and scalable for the Fortune 500.
WHAT YOU WILL DO IN THIS ROLE:
* Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural
design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines.
* Drive Industry-Leading Reliability: Move beyond simple evals to build world-class, automated "hill-climbing" infrastructure.
You will establish the methodology for how Snowflake measures and guarantees LLM performance across diverse customer schemas.
* Cross-Functional Influence: Partner with Product and Engineering leadership to align AI capabilities with business goals. You
will bridge the gap between Research (modeling) and Production (infra), ensuring the latest LLM breakthroughs are viable at
Snowflake scale.
* Ecosystem Thinking: Design extensible "context engineering" patterns—including advanced function calling and semantic layer
integration—that can be leveraged by other Snowflake teams and external developers.
* Technical Leadership & Mentorship: Act as a force multiplier. You will mentor Staff and Senior engineers, lead cross-functional
"strike teams" on high-stakes projects, and foster a culture of technical excellence and rapid experimentation.
REQUIREMENTS:
* Experience: 10+ years of software engineering experience, with 3+ years specifically leading the deployment of LLM-based
applications at massive scale.
* Education: Bachelor’s, Master’s, or PhD in Computer Science, AI, or a related field.
* Expertise: Deep, "under-the-hood" understanding of LLM orchestration. You should be an expert in prompt optimization, semantic
modeling, and building robust guardrails for non-deterministic systems.
* Systems Thinking: Proven track record of designing complex systems that integrate AI with traditional data stacks (SQL,
Retrieval Systems, Semantic Layers).
* Communication: Exceptional ability to communicate complex technical trade-offs to both executive leadership and ICs. You are as
comfortable in a design doc as you are in a boardroom.
* Proven Impact: You have previously held a "Principal" or equivalent high-level IC role, or have led the technical launch of a
major AI product used by millions.
ABOUT SNOWFLAKE
Snowflake is the AI Data Cloud. We aren't just shipping "wrappers"; we are building the foundational intelligence layer for the
world’s data. Join us as we scale Cortex, including Snowflake Intelligence, Cortex Agents, Analyst, and Search—to define the next
decade of enterprise computing.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's
duty to keep customer information secure and confidential.
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
CA-Menlo Park•Posted: Feb 26•Deadline: Aug 17
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.
The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets
that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources.
Snowhouse powers all of Snowflake’s core business, engineering and data science needs and provides customers with full visibility
into their account activities, usage, and resource consumption from all their global environments. The team is investing in
multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data
layout. Our team is also responsible for a fundamental product for Snowflake’s customers: the Snowflake system
database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as
well as 1st party business logic such as ML powered functions and Budgeting applications.
AS A PRINCIPAL SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION, YOU WILL:
* Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data
infrastructure
* Lead and drive projects from idea formulation to design, implementation and successful productionization.
* Collaborate with product managers, architects, other engineering teams, data science organizations, business groups, on end to
end solutions.
* Provide strong technical leadership to the team and partner teams.
* Enable the data science organization, business groups, engineering teams to build comprehensive analytics quickly and
effectively.
OUR IDEAL CANDIDATE WILL HAVE:
* 15+ years of experience in distributed systems, some of which are in data warehouse or data infrastructure software
development.
* Strong track record of delivering large scale and resilient distributed systems and services.
* Extensive and strong development experience in cloud environments, such as AWS, Azure, and GCP.
* Strong collaboration and communication skills.
* Experience in distributed systems and databases.
* Experience in ML is a plus.
* Strong hands-on skills. Can dive deep into the complex system design and implementation when needed.
* BS/MS/PhD in Computer Science or related majors, or equivalent experience.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's
duty to keep customer information secure and confidential.
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
