Senior Data Platform Architect

Snowflake

Senior Data Platform Architect leading enterprise data architecture solutions for clients using Snowflake technology. Collaborate across teams and demonstrate platform value throughout sales processes.

Posted 6/2/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

ApacheCloudETLHadoopInformaticaMatillionPandasPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Requirements

What you’ll need

10+ years of architecture and data engineering experience within the Enterprise Data space
5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…)
Fluency or Native German will be required.
Outstanding presentation skills to both technical and executive audiences
Ability to connect a customer’s specific business problems and Snowflake’s solutions
Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies
Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica.
Familiarity with streaming technologies and real-time or near real time use cases
Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet
Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences
Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data architecturedata engineeringpre-sales experienceSQLPythonPandasSparkHadoopETLdata integration

Soft Skills

presentation skillscommunicationproblem-solvingcollaborationcustomer discoveryexecutive engagementtechnical communicationadaptabilitystrategic thinkinginterpersonal skills

Certifications

Bachelor's DegreeMaster's Degree in computer scienceMaster's Degree in engineeringMaster's Degree in mathematics