Senior Manager, Data Engineering - Applied Field Engineering jobs in United States
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Snowflake · 18 hours ago

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.

AnalyticsArtificial Intelligence (AI)Cloud Data ServicesData ManagementEnterprise SoftwareSoftware
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Comp. & Benefits
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H1B Sponsor Likelynote

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

Qualification

Data EngineeringMulti-cloud architecturePre-sales experienceSQLPythonETL toolsData Lakehouse architectureBusiness acumenPresentation skillsTeam management

Required

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

Preferred

Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred

Benefits

Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending & health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits

Company

Snowflake

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Snowflake is a cloud data platform that provides a data warehouse as a service designed for the cloud.

H1B Sponsorship

Snowflake has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (428)
2024 (281)
2023 (154)
2022 (182)
2021 (113)
2020 (98)

Funding

Current Stage
Public Company
Total Funding
$2.03B
Key Investors
Sequoia CapitalICONIQ GrowthAltimeter Capital
2022-04-19Post Ipo Equity· $621.46M
2020-09-16IPO
2020-02-07Series G· $479M

Leadership Team

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Sridhar Ramaswamy
Chief Executive Officer
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Benoit Dageville
Snowflake Co-founder, President of Product
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Company data provided by crunchbase