
Senior Manager, Data Engineering – Applied Field Engineering
Snowflake
full-time
Posted on:
Location Type: Hybrid
Location: New York City • Illinois • New York • United States
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Salary
💰 $228,000 - $299,200 per year
Job Level
About the role
- Lead, manage, mentor, and coach a team of Data Engineering Specialists.
- Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision.
- Collaborate strategically with Regional Sales Leaders and Executive Account Management.
- Work hands-on with prospects and customers as a player-coach.
- Contribute to the strategic direction of the AFE Data Engineering function.
- Influence the product roadmap and refine go-to-market strategies.
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.
- 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.
- 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.
- 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.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
Benefits
- Healthcare Benefits
- Retirement Plans
- Paid Time Off
- Remote Work Options
- Professional Development Opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architectureETLanalyticsSQLPythonPandasSparkHadoopdata integration
Soft skills
team managementpresentation skillscustomer engagementstrategic collaborationmentoringcoachingbusiness acumeninfluencingcommunicationproblem-solving
Certifications
Bachelor's DegreeMaster's Degree in computer scienceMaster's Degree in engineeringMaster's Degree in mathematics