Senior Data Platform Architect, Applied Field Engineering

Snowflake

4d

About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Our Sales Engineering organization is seeking a Data Platform Architect to join our Applied Field Engineering team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Cloud Data Platform capabilities across Data Warehouse, Data Lake, and Data Engineering workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.

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. 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
• 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.
• Must have some prior knowledge of Data Engineering tools for ingestion, transformation and curation
• Familiarity with real-time or near real time use cases (ex. CDC) and technologies (ex. Kafka, Flink) and deep understanding of integration services and tools for building ETL and ELT data pipelines and its orchestration technologies such as 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
• 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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees