Remotery

Solution Engineer – Data Engineering Specialist

atSnowflakeUS flagUnited StatesFull-timeUncategorizedSeniorLead$189k – $248.1k/year

Posted 1 day ago

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

📋 Description

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

• Engage directly with prospects and clients to illustrate and convey the value of Snowflake technology throughout the sales process.

• Stay immersed in the rapidly changing industry, maintaining a comprehensive understanding of competitive and complementary technologies and vendors.

• 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.

• More than 5 years of experience in a pre-sales role (such as Sales Engineer, Solutions Engineer, Solutions Architect, etc.).

• Demonstrable experience working with Financial Services clients.

• Exceptional presentation skills tailored for both technical and executive audiences.

• Ability to link a customer's specific business challenges with Snowflake’s solutions.

• Proficient in conducting thorough explorations of customer architecture frameworks and aligning them with Snowflake Data Architecture.

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

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

• In-depth knowledge of data integration services and tools utilized for constructing ETL and ELT data pipelines.

• Familiarity with streaming technologies (e.g., Kafka, Flink, Spark Streaming, Kinesis).

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

• Strong architectural knowledge in data engineering, enabling confident presentations and demonstrations to both business executives and technical teams.


🏝️ Benefits

• Health insurance

• 401(k)

• Professional development opportunities

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