[Remote] Solution Engineer - Data Engineering Specialist (FSI)

Note: The job is a remote job and is open to candidates in USA. Snowflake is empowering enterprises to achieve their full potential, and they are seeking a Data Engineering Specialist to join their Applied Field Engineering team. This role involves providing technical leadership in designing and architecting the Snowflake Cloud Data Platform for the Financial Services industry, collaborating with sales teams, and demonstrating the value of Snowflake's technology throughout the sales cycle.

Responsibilities

• 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

Skills

• 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…)
• Proven experience working with Financial Services customers
• 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

Benefits

• Eligible to participate in Snowflake’s equity plan
• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• Flexible spending & health savings account
• At least 12 paid holidays
• Paid time off
• Parental leave
• Employee assistance program
• Other company benefits

Company Overview

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