Data Platform Architect - Applied Field Engineering

Employment Type: Full-Time Location Type: Remote Salary: Not Specified

Position Overview

Join the Snowflake team and contribute to our mission of making data do more. Our Sales Engineering organization is seeking a Data Platform Architect to join our Applied Field Engineering team. In this role, you will provide leadership in designing and architecting the Snowflake Cloud Data Platform as a critical component of enterprise data architecture and overall ecosystem, working with both technical and business executives. You will collaborate directly with the sales team and channel partners to understand customer needs, strategize on winning sales cycles, deliver compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. Leverage your expertise, best practices, and reference architectures to highlight Snowflake’s Cloud Data Platform capabilities across Data Warehouse, Data Lake, and Data Engineering workloads. You should be equally comfortable in both business and technical contexts, interacting with executives and engaging with technical audiences.

Responsibilities

• Apply 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.

Requirements

• 5+ years of architecture and data engineering experience within the Enterprise Data space.
• 5+ years experience within a pre-sales environment.
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics, and cloud technologies (e.g., 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.
• Ability to connect a customer’s specific business problems with Snowflake’s solutions.
• Ability to perform deep discovery of a customer’s architecture framework and connect those with Snowflake Data Architecture.
• Prior knowledge of Data Engineering tools for ingestion, transformation, and curation.
• Familiarity with real-time or near real-time use cases (e.g., CDC) and technologies (e.g., Kafka, Flink).
• Deep understanding of integration services and tools for building ETL and ELT data pipelines and their orchestration technologies (e.g., Matillion, Fivetran, Airflow, Informatica, etc.).
• 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.

Company Information

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

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.

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(For jobs located in the United States)