Senior Manager, Data Engineering - Applied Field Engineering

Snowflake is about empowering enterprises to achieve their full potential. The Senior Manager, Data Engineering - Applied Field Engineering will provide strategic, technical, and thought leadership to a team of specialists, engaging with both technical and business executives to architect the Snowflake Cloud Data Platform as a critical component of enterprise data strategies.

Responsibilities:

• Lead, manage, mentor, and coach a team of Data Engineering Specialists to exceed individual and team revenue goals and drive high-impact customer engagements
• Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners, serving as a key technical and thought leader
• Collaborate strategically with Regional Sales Leaders and Executive Account Management to target and accelerate high-value opportunities that require deep data engineering and data lake expertise
• Work hands-on with prospects and customers as a player-coach to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
• Contribute to the strategic direction of the AFE Data Engineering function, driving best practices, team enablement, and providing product feedback to drive future innovation
• 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, emphasizing the business value and ROI
• Influence the product roadmap, refine go-to-market strategies, and align field efforts with the product vision and customer success through close collaboration with Product Management, Engineering, Sales Leaders, and Marketing

Requirements:

• 10+ years of architecture and data engineering experience within the Enterprise Data space
• 5+ years of experience in a team management role, with a focus on pre-sales or technical field teams
• 5+ years experience within a pre-sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc…)
• Proven track record of achieving or exceeding team revenue targets
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Ability to deeply connect a customer's specific business problems with Snowflake's solutions and articulate the associated business value and ROI
• Ability to do deep discovery of a 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 and business acumen 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