Senior Data Platform Architect

Snowflake1 months ago

Location

GB-London

Type

Full Time

Salary

GBP 95,000 – 140,000

Level

Senior

Role

Senior Data Platform Architect

Posted

Jan 30, 2026

Full TimeSenior

The role

Summary

Snowflake is seeking a Senior Data Platform Architect to lead technical pre-sales activities, working with enterprise customers to design and implement cloud data architecture solutions. This role combines deep data engineering expertise with customer-facing presentation skills to drive sales cycles and demonstrate Snowflake's platform capabilities across data ingestion, transformation, and lakehouse workloads.

What you'll do

Technical Leadership: Provide technical leadership in designing enterprise data architecture solutions using Snowflake Cloud Data Platform

Customer Engagement: Work directly with sales teams and customers to understand business needs and navigate winning sales cycles

Solution Demonstrations: Deliver compelling value-based demonstrations showcasing Snowflake's capabilities across data ingestion, transformation, and lakehouse workloads

Proof of Concept Support: Support enterprise Proof of Concepts to validate technical solutions and drive business closure

Executive Presentations: Present Snowflake technology and vision to executives and technical contributors at strategic prospects and customers

Competitive Analysis: Maintain deep understanding of competitive and complementary technologies and position Snowflake effectively

Cross-functional Collaboration: Collaborate with Product Management, Engineering, and Marketing teams to improve products and marketing strategies

Customer Architecture Discovery: Perform deep discovery of customer architecture frameworks and connect them with Snowflake Data Architecture solutions

What we look for

Technical

Data Architecture Expertise10+ years of architecture and data engineering experience within the Enterprise Data space

Database TechnologiesBroad experience with large-scale Database and Data Warehouse technology, ETL, analytics and cloud technologies

Programming SkillsHands-on development experience with SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and other big data technologies

Data Integration ToolsDeep understanding of ETL/ELT data pipeline tools such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica

Streaming TechnologiesFamiliarity with Kafka, Flink, Spark Streaming, Kinesis and real-time/near real-time use cases including CDC

Lakehouse ArchitectureExperience designing interoperable data lakehouse architectures with Iceberg, Delta, and Parquet

Data ArchitecturesKnowledge of Data Lake, Data Mesh, and Data Fabric architectures

Education

Bachelor's DegreeBachelor's degree required in computer science, engineering, mathematics or related fields

Master's DegreeMaster's degree in computer science, engineering, mathematics or related fields preferred

Experience

Pre-sales Experience5+ years experience in pre-sales environment as Sales Engineer, Solutions Engineer, or Solutions Architect

Presentation SkillsOutstanding presentation skills to both technical and executive audiences, including impromptu whiteboard sessions

Business Problem SolvingAbility to connect customer-specific business problems with Snowflake solutions

Customer Architecture DiscoveryProven ability to perform deep discovery of customer architecture frameworks

Skills

Required skills

Multi-cloud Data ArchitectureExpert-level knowledge of cloud data platform design across AWS, Azure, and GCP

SQLAdvanced SQL skills for complex data analysis and database operations

PythonProficient Python programming for data engineering and automation tasks

Big Data TechnologiesHands-on experience with Spark, Hadoop, and distributed computing frameworks

Data IntegrationDeep expertise in ETL/ELT tools and data pipeline design

Presentation SkillsExceptional ability to present to both technical and executive audiences

Solution ArchitectureStrong architectural design skills for enterprise data solutions

Nice to have

Streaming TechnologiesExperience with Kafka, Flink, and real-time data processing

Lakehouse FormatsKnowledge of Iceberg, Delta Lake, and Parquet for modern data architectures

Change Data CaptureUnderstanding of CDC patterns and real-time data replication

Data Mesh/FabricFamiliarity with modern distributed data architecture patterns

Cloud PlatformsMulti-cloud experience across AWS, Azure, and Google Cloud Platform

Customer Facing SkillsStrong business acumen and executive communication abilities

Compensation & benefits

Salary

GBP 95,000 – 140,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Stock options and equity participation in Snowflake's growth

Health Insurance

Comprehensive health coverage including medical, dental, and vision

Professional Development

Continuous learning opportunities and conference attendance support

Flexible Work Arrangements

Hybrid work model with flexibility for remote and office-based work

Innovation Culture

Collaborative environment focused on impact, innovation, and career growth

UK Benefits Package

Competitive benefits package tailored to UK employment standards

Career Advancement

Opportunities for rapid career progression in a fast-growing company

Interview process

1
Initial Screening — Phone or video call with recruiter to discuss background, experience, and interest in the role
2
Hiring Manager Interview — Technical and behavioral interview with the hiring manager focusing on pre-sales experience and data architecture expertise
3
Technical Presentation — Live presentation demonstrating ability to explain complex technical concepts to both technical and business audiences
4
Customer Scenario Assessment — Role-playing exercise simulating customer interaction and solution architecture discussion
5
Panel Interview — Final round with multiple team members including sales, engineering, and product management stakeholders
6
Reference Check — Verification of previous experience and performance with former colleagues and managers