Senior Manager of Data Engineering, Snowflake
Applied Field Engineering
$228-299.2k
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan
3-5 days a week in office
AI Data Cloud for data sharing and app building
Be an early applicant
AI Data Cloud for data sharing and app building
1001+ employees
Be an early applicant
$228-299.2k
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 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
What the job involves
- Our Solution Engineering organization is seeking a Senior Manager, Data Engineering - Applied Field Engineer to join our Applied Field Engineering team who will provide strategic, technical, and thought leadership to a team of specialists
- This role involves personally engaging with both technical and business executives to architect the Snowflake Cloud Data Platform as a critical component of their enterprise data strategy
- In this role, you will lead and manage a team working directly with the sales team to deeply understand customer needs, strategize winning sales cycles, drive revenue growth, 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 Data Platform capabilities across data ingestion, transformation, and lakehouse workloads, all while maintaining a strong revenue and product mindset
- You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences
- 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
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Insights
37% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
LATE VC
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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