Senior Data Platform Architect

This is a fully remote position, open to applicants in Germany.

📋 Description

• Leverage your expertise in multi-cloud data architecture while showcasing Snowflake technology and vision to executives and technical contributors at key prospects, customers, and partners.

• Engage directly with prospects and customers to illustrate and convey the value of Snowflake technology throughout the sales process, from demonstrations to proofs of concept to design and implementation.

• Stay immersed in the continually changing industry, ensuring a thorough understanding of competitive and complementary technologies and vendors, and how to effectively position Snowflake in this landscape.

• Collaborate with Product Management, Engineering, and Marketing teams to enhance Snowflake’s products and marketing strategies.

⛳️ Requirements

• Over 10 years of experience in architecture and data engineering within the Enterprise Data domain.

• At least 5 years of experience in a pre-sales capacity (Sales Engineer, Solutions Engineer, Solutions Architect, etc.).

• Proficiency or native fluency in German is mandatory.

• Exceptional presentation skills aimed at both technical and executive audiences.

• Ability to relate a customer’s unique business challenges to Snowflake’s solutions.

• Competence in conducting deep discovery of a customer’s architectural framework and linking it with Snowflake Data Architecture.

• Extensive experience with large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies.

• Practical development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive, and other Big Data technologies.

• Profound knowledge of data integration services and tools for constructing ETL and ELT data pipelines, including Apache NiFi, Matillion, Fivetran, Qlik, or Informatica.

• Familiarity with streaming technologies and real-time or near real-time use cases.

• Experience in designing interoperable data lakehouse architectures and familiarity with Iceberg, Delta, and Parquet.

• Strong architectural skills in data engineering to confidently present and demonstrate to both business executives and technical audiences.

• A Bachelor’s Degree is required; a Master’s Degree in computer science, engineering, mathematics, or related fields, or equivalent experience is preferred.

🏝️ Benefits

• Health insurance

• Retirement plans

• Paid time off

• Flexible work arrangements

• Professional development