Snowflake22.04.2026
Solution Engineer - Data Engineering Specialist (FSI)
Полная занятостьУдалёнка
Обязанности
- 01Provide technical leadership in working with technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of enterprise data architecture and overall ecosystem.
- 02Work directly with the sales team to understand customer needs, strategize on winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and close business.
- 03Leverage expertise, best practices, and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads.
- 04Interact comfortably in both business and technical contexts, engaging executives and technical audiences.
- 05Apply multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners.
- 06Work 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.
- 07Immerse 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.
- 08Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
Требования
- 0110+ years of architecture and data engineering experience within the Enterprise Data space
- 025+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…)
- 03Proven experience working with Financial Services customers
- 04Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- 05Ability to connect a customer’s specific business problems and Snowflake’s solutions
- 06Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
- 07Broad 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
- 08Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
- 09Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica.
- 10Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real-time or near real time use cases (ex. CDC)
- 11Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet
- 12Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
- 13Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred