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’re leading the data revolution, building the world’s best data and applications platform. Our "get it done" culture empowers everyone at Snowflake to innovate, create lasting impact, and excel in a culture of collaboration.
Snowflake is rapidly expanding its Systems Integrator (SI) Go-To-Market initiatives. SIs are key to helping customers unlock the power of Snowflake Data Cloud.
Success in this role requires relationship management, program execution, goal-setting, and tracking progress. The candidate will help shape and deliver a strategy to build mindshare with Snowflake’s SI partners.
We seek a candidate with a proven track record of working with large SI partners, strong business acumen, and knowledge of the broader platform ecosystem, products, and competition to be a trusted advisor.
The role requires up to 25% travel within Brazil for partner engagement, enablement, deal support, and marketing events.
AS A SENIOR SOLUTIONS ENGINEER - SI PARTNERS, YOU WILL:Help Solution Providers/Practice Leads with the technical strategies that enables them to sell their offerings on Snowflake
Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging
Strong understanding of how SI make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services
Help develop and launch joint differentiated solution offerings with SI Partners
Conversations with other technologists, providing presentations at the C-level.
Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging
Providing technical product and deep architectural expertise & latest product capabilities with our Partner Solution Architect community
Collaborate with partners to develop Snowflake solutions in customer engagements. You will be working with our partners to create assets and demos, build hands-on POCs and pitch Snowflake solutions.
Production level hands on expertise in developing and deploying PySpark or Scala and SQL to build ELT/data pipelines into production environments. Staying current with the latest Spark updates and best practices
Hands on experience in designing and building highly scalable data pipelines using Spark, Kafka to ingest data from various systems.
Experience with integration platforms like Matillion, FiveTran, Informatica, dbtCloud etc.
Experience with database technologies
Hands-on technical experience with DevOps and CI/CD processes and tools, such as Azure DevOps, Jenkins, AWS CodePipeline, and Google Cloud Build
Strong experience with major cloud platforms and tooling, especially Azure or AWS, or Google Cloud
Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.
Experience with AI/ML use cases is a plus
5+ years industry experience designing, building and supporting large-scale systems in production.
Passionate about improving overall developer experience, prior experience in Developer Platform, Developer Experiences or Developer Productivity is a plus.
Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems.
Fluency in multiple programming languages is a big plus.
Knowledge of database internals is a plus.
Experience working with cross teams and product managers.
BS/MS/PhD in Computer Science or related majors.
Excellent verbal and written communications skills in English and Portuguese
We have a diverse team across the globe with different set skills , experience and tenure-ship. We have a team who celebrates the upleveling of their colleagues in Knowledge across all areas and see you being successful with your Partners.
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
- 5+ years of industry experience designing, building, and supporting large-scale production systems
- Production-level experience with PySpark or Scala and SQL for ELT and data pipelines
- Experience designing and building scalable data pipelines using Spark and Kafka
- Experience with integration platforms such as Matillion, Fivetran, Informatica, or dbt Cloud
- Experience with database technologies
- Hands-on experience with DevOps and CI/CD processes and tools
- Strong experience with Azure, AWS, or Google Cloud
- Experience with cloud integration technologies such as Azure Data Factory, AWS Glue, or AWS Lambda
- Strong computer science fundamentals, including data structures, algorithms, and distributed systems
- Experience collaborating across teams and with product managers
- Bachelor’s, master’s, or doctoral degree in Computer Science or a related major
- Excellent verbal and written communication skills in English and Portuguese
- Experience with AI/ML use cases
- Experience in developer platforms, developer experience, or developer productivity
- Fluency in multiple programming languages
- Knowledge of database internals
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 widely viewed as competitive and aligned with market value, with “fair pay” and top-tier total compensation frequently cited for engineering and technical roles.
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Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering.
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Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs.
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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