[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.ResponsibilitiesApply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partnersWork 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 implementationImmerse 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 themCollaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketingSkills10+ years of architecture and data engineering experience within the Enterprise Data space5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…)Proven experience working with Financial Services customersOutstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demosAbility to connect a customer's specific business problems and Snowflake's solutionsAbility to do deep discovery of customer's architecture framework and connect those with Snowflake Data ArchitectureBroad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data FabricHands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologiesDeep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or InformaticaFamiliarity 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 ParquetStrong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questionsBachelor's Degree requiredMasters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferredBenefitsEligible to participate in Snowflake’s equity planMedical, dental, vision, life, and disability insurance401(k) retirement planFlexible spending & health savings accountAt least 12 paid holidaysPaid time offParental leaveEmployee assistance programOther company benefitsCompany OverviewSnowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud. It was founded in 2012, and is headquartered in San Mateo, California, USA, with a workforce of 5001-10000 employees. Its website is https://www.snowflake.com.Company H1B SponsorshipSnowflake has a track record of offering H1B sponsorships, with 76 in 2026, 428 in 2025, 281 in 2024, 154 in 2023, 182 in 2022, 113 in 2021, 98 in 2020. Please note that this does not guarantee sponsorship for this specific role.