Senior Data Platform Architect

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Snowflake

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2012

☁️ SaaS

🏢 Entreprise

🤝 B2B

SaaS • Enterprise • B2B

Snowflake est une plateforme de données cloud et un entrepôt de données en tant que service. Elle permet aux organisations de stocker, traiter, analyser et partager de grands volumes de données structurées et semi-structurées sur plusieurs clouds, avec une décomposition scalable des capacités de calcul et de stockage, une sécurité intégrée et des capacités de partage de données, ainsi qu'un support pour les charges de travail analytiques et d'apprentissage automatique. Snowflake est proposé en tant que SaaS géré pour les clients entreprises et est principalement commercialisé et vendu en tant que produit B2B.

Description

• 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

🎯 Exigences

• 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, whether impromptu on a whiteboard or using presentations and demos. • 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. For example, Data Lake, Data Mesh, Data Fabric • 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 (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC) • 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, and effectively handle any impromptu questions • Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred

🏖️ Avantages

• 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.