Job Description

Snowflake focuses on enabling corporations to reach their peak capabilities—and individuals as well. Maintaining a workplace centered on results, creativity, and teamwork, Snowflake represents the ideal environment for constructing major systems, accelerating progress, and advancing both tech and professional paths.

Our Solution Engineering department is looking for a Senior Data Platform Architect (Specialist) to join the Applied Field Engineering group. This individual will offer technical guidance while engaging with both operational and technical leadership to frame the Snowflake Cloud Data Platform as a vital element of their corporate data landscape and broader technical environment. In this capacity, you will partner with the sales division to identify client requirements, plan methods for successful sales navigation, deliver persuasive value-focused presentations, manage corporate Proof of Concepts, and finalize deals. You will utilize your proficiency, established protocols, and architectural models to showcase Snowflake’s strengths in data collection, processing, and lakehouse operations. You are proficient in both commercial and technical settings, engaging with high-level leaders and discussing intricate details with technical groups.

In This Role You Will Get To:

Utilize your cross-cloud data design skills to pitch Snowflake’s tech and roadmap to leadership and technical teams at key prospects, clients, and affiliates.
Engage directly with potential and current clients to showcase and articulate the benefits of Snowflake’s platform during the sales journey, from initial viewing to pilot phases and deployment.
Engage deeply with the shifting market, keeping a thorough grasp of rival and auxiliary technologies to effectively differentiate Snowflake’s position.
Partner with Product, Engineering, and Marketing departments to steadily refine Snowflake’s offerings and outreach strategies.

On Day One, We Will Expect You To Have:

A decade or more of experience in architectural design and data engineering within corporate environments.
Minimum of 5 years working in a pre-sales capacity, such as a Solutions Engineer or Architect.
Exceptional delivery skills for both specialist and executive viewers, whether utilizing whiteboards or formal software demonstrations.
Capacity to link a client’s unique commercial challenges to Snowflake’s technical answers.
Proficiency in performing thorough audits of a client’s existing architectural setups to integrate them with Snowflake Data Architecture.
Extensive background with high-volume Database or Data Warehouse systems, ETL processes, analytics, and cloud environments like Data Lake, Data Mesh, or Data Fabric.
Practical coding skills in languages and tools like SQL, Python, Pandas, Spark, PySpark, Hadoop, or Hive.
Thorough knowledge of data movement services and utilities for constructing ETL/ELT flows, including Matillion, Fivetran, Qlik, or Informatica.
Experience with streaming platforms such as Kafka or Kinesis and real-time scenarios like Change Data Capture (CDC).
History of designing functional data lakehouse models and working with formats like Iceberg, Delta, and Parquet.
Robust architectural mastery in data engineering to lead discussions with business heads and handle technical inquiries on the fly.
A Bachelor’s degree is mandatory; a Master’s in Computer Science, Math, or Engineering is highly valued.

Every member of the Snowflake team must adhere to the firm’s privacy and protection protocols for managing delicate information. Following the data security strategy is a fundamental obligation for all staff to ensure client data remains protected and private.

Snowflake is expanding rapidly, and we are increasing our workforce to support this momentum. We seek individuals who align with our principles, contest conventional ideas, and drive innovation while growing alongside the company.

Job Data Table

Category	Details
Company Name	Snowflake
Location	London, United Kingdom
Locality	London
Country	United Kingdom
City	London
Region	Greater London
Job Type	Full-time
Salaries	Not Specified
Experience Level	Senior (10+ years)
Travel	Not Specified
Language	English
Benefits	Not Specified (Refer to careers site)

Skills & Competency Table

Skill	Competency Level
Data Architecture	Expert
Pre-Sales Engineering	Expert
SQL & Python	Advanced
Big Data (Spark/Hadoop)	Advanced
ETL/ELT Pipelines	Expert
Cloud Data Lakehouse	Expert
Executive Presentation	Expert

Salaries Pay Calculator Table

Component	Amount	Notes
Annual Salary	Not Specified	Based on senior-level market rates
Bonus	Not Specified	Often includes performance incentives
Total Compensation	Competitive	May include equity/RSUs

Job Summary

As a Senior Data Platform Architect at Snowflake, you will bridge the gap between complex data engineering and strategic business outcomes. This pre-sales leadership role involves designing enterprise cloud architectures, leading technical demonstrations, and managing Proof of Concepts to drive the adoption of Snowflake’s Data Cloud among major enterprise clients.

FAQs

What is the minimum experience required? Candidates need at least 10 years in data architecture/engineering and 5 years in pre-sales.

Does this role require coding? Yes, hands-on experience with SQL, Python, and Big Data technologies like Spark is required.

What is the primary goal of the role? To support the sales team by providing technical leadership and designing Snowflake-centered data ecosystems for customers.

Is an advanced degree necessary? A Bachelor’s is required, but a Master’s in a technical field is preferred.

What data frameworks should I know? You should be familiar with Data Lake, Data Mesh, Data Fabric, and Lakehouse architectures (Iceberg/Delta).

Expert Analysis

This role demands a rare “unicorn” profile: deep technical hands-on ability combined with high-level executive presence. Because Snowflake is a market leader, the architect must not only know their own product but also how to displace legacy systems and integrate with modern streaming and governance tools in complex multi-cloud environments.

Location & Logistics Guide

Based in London, the role sits in one of the world’s most significant financial and data hubs. The architect will likely engage with a diverse portfolio of FTSE 100 clients. Accessibility to major cloud provider headquarters in London makes it a strategic location for field engineering.

City Wikipedia: https://en.wikipedia.org/wiki/London

Career Path

From this position, a specialist can move into a Principal Solution Architect role, Field CTO, or transition into Product Management. Long-term, the experience gained at a high-growth SaaS leader like Snowflake prepares individuals for executive leadership roles such as VP of Solution Engineering or Chief Data Officer.

To apply for this job please visit careers.snowflake.com.