AI-Native Solutions Architect for Data Platforms

Snowflake Inc.; Denver, Salt Lake City, Los Angeles (CO, UT, CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Snowflake is seeking a Professional Services Solutions Architect to balance pre‑sales and delivery of services engagements. You will be a hands‑on, self‑starter who connects business problems with Snowflake solutions and communicates that vision to technical and executive audiences.

The role requires experience across data analytics, cloud platforms, and AI/ML contexts, with the ability to lead workshops, shape proposals, and drive adoption of Snowflake solutions for customers.

Qualifications

• University degree in computer science, engineering, mathematics or related fields, or equivalent experience.
• Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer.
• Minimum 2 years of practical Snowflake experience, leading or participating in services engagements.
• Minimum 2 years of practical experience with at least one of the three major cloud providers (AWS, Azure or GCP).
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools.
• Hands‑on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI).
• Either extensive knowledge of and experience with large‑scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) along with data science/AI/ML use cases and workloads, OR;
• Experience with AI/ML model development and relevant tools like Sagemaker, DBx, or Azure ML. Additionally candidate must have familiarity with common ML supporting libraries (sklearn, xgboost, pytorch, pandas, etc.).
• Software development experience with Python, Java, Spark and other Scripting languages.
• Proficiency in implementing data security measures, access controls, and design within the Snowflake platform.
• Internal and/or external consulting experience.
• Impeccable communication skills - written, visual and oral. Capable of comfortably engaging audiences from hands‑on technologists through C‑suite executives.

Responsibilities

• Present Snowflake technology and vision to executives and technical contributors to customers.
• Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes.
• Partner with Professional Services Practice Directors and Practice Managers to identify, iterate and scope proposals and Statements of Work, both for packaged services as well as custom Time and Materials projects.
• Collaborate with Snowflake sales executives and account teams on opportunity development and overall account strategy.
• Build trust and confidence in Snowflake Professional Services through the delivery of on‑site technical/use‑case workshops, leadership of video conference meetings, assistance with deep‑deep technical issues or questions and public‑facing evangelism (LinkedIn, Medium, etc.) of Snowflake.
• Collect and communicate common themes and questions from customer meetings to inform delivery teams on the evolving services landscape, identifying opportunities to build new and/or evolve existing packaged service offerings.
• Drive project teams towards common goals of accelerating the adoption of Snowflake solutions.
• Demonstrate and communicate the value of Snowflake technology throughout paid engagements, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders.
• Create repeatable processes and documentation as a result of customer engagement.
• Create and collaborate on Industry based solutions that are relevant to other customers in order to drive more value out of Snowflake.
• Follow best practices, including ensuring knowledge transfer so that customers are correctly enabled and can extend the capabilities of Snowflake on their own.
• Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.

Skills

Data architecture

SQL proficiency

Cloud platforms

Python/Java

AI/ML familiarity

Security controls

Stakeholder comms

Consulting experience

Big data tech

Education

University degree in computer science, engineering, mathematics or related fields, or equivalent experience

Tools

Snowflake

Sagemaker

Azure ML

Looker

Tableau

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.

Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimize, 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. We advise everyone from developers through senior executives on how best to utilize Snowflake to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of technology.

In this role, you will lead and execute complex migrations from legacy systems to the Snowflake platform. You will collaborate closely with customers and system integrators to understand their requirements, design robust migration strategies, and ensure seamless transitions with minimal disruption. Additionally, you will work with a diverse range of teams both inside and outside the company.

RESPONSIBILITIES:

• Design comprehensive migration plans and solutions tailored to the customer's needs and architecture, ensuring a seamless transition to Snowflake

• Partner with our customers, acting as the technical expert for all aspects of Snowflake during implementation

• Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own

• Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them

• Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments

• Create presentations and document learnings from the project. Develop utilities and accelerators to streamline migration and related activities

• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

MINIMUM QUALIFICATIONS:

• 7+ years of experience working with customers in a pre-sales or post-sales technical role, preferably as a solutions architect

• Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform

• Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc.

• End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure, GCP)

• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos

• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools

• Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell etc.

• University degree in computer science, engineering, mathematics or related fields, or equivalent experience

PREFERRED QUALIFICATIONS:

• 3 years of technical consulting experience

• Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)

• Familiarity and experience with common BI and data exploration tools (e.g. Power BI, Microstrategy, Business Objects, Tableau)

• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, OpenStack, etc.)

• Experience implementing ETL pipelines using custom, packaged tools and software development experience using C/C++, Java 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.

The application window is expected to be open until January 19, 2025. This opportunity will remain posted based on business needs, which may be before or after the specified date.

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