Staff Partner Designated Support Engineer, Snowflake

Platform

$144-189k

This role is eligible to participate in Snowflake’s bonus and equity plan

SQL

AWS

Docker

Kubernetes

GCP

JavaScript

Python

Tableau

.NET

Scala

Java

Kafka

Node.js

Power BI

C++

Azure

Spark

Windows

Snowflake

MicroStrategy

REST API

Azure Data Factory

Senior and Expert level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

AI Data Cloud for data sharing and app building

Be an early applicant

AI Data Cloud for data sharing and app building

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Be an early applicant

$144-189k

This role is eligible to participate in Snowflake’s bonus and equity plan

SQL

AWS

Docker

Kubernetes

GCP

JavaScript

Python

Tableau

.NET

Scala

Java

Kafka

Node.js

Power BI

C++

Azure

Spark

Windows

Snowflake

MicroStrategy

REST API

Azure Data Factory

Senior and Expert level

San Francisco Bay Area

3-5 days a week in office (Menlo Park, CA)

1001+ employees

B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Company mission

On a mission to mobilize the world's data.

Job

Company

Role

Who you are

Bachelor’s or Master’s degree in Computer Science, or a related discipline
7+ years of combined experience in Technical Support or Developer Support, Full Stack Application Development, Data Engineering, Solutions Engineering, or Technical Consulting
Solid understanding of cloud computing architecture, security best practices, major cloud platforms (AWS, GCP, Azure), and core data layers like data warehouses and data lakes
Proficient in programming, scripting, and debugging in at least two languages, such as Java, Python, C++, R, Scala, C# (.NET), JavaScript (Node.js), Go, including hands-on experience with distributed data technologies (Spark, Kafka)
Strong experience writing, profiling, and debugging SQL queries, implementing and troubleshooting database connectivity (ODBC, JDBC), and working with REST APIs for data access and integration
Advanced knowledge of cloud-based ETL/ELT tools (e.g., AWS Glue, EMR, Azure Data Factory, Informatica, Data Pipelines) and experience with cloud provider messaging services such as AWS SQS/SNS, Azure queues, and GCP Pub/Sub
Proficient in configuring and troubleshooting internet services/protocols (TCP/IP, HTTP, TLS/SSL, DNS), and system troubleshooting across multiple operating systems (Windows, Mac, *Nix) using common analysis tools (tcpdump, lsof, wireshark, netstat, sar, perfmon, process explorer)
Practical experience with virtualization solutions and container platforms such as VMware, Docker, Kubernetes, and VirtualBox

Desirable

Experience in developer advocacy or technical community roles, delivering a personalized support experience through a deep or specialized understanding of customer environments
Operations and system administration expertise (including on-call rotations), with experience in performance engineering and security within technical environments
Hands-on experience working with MPP (massively parallel processing) databases and familiarity with BI/data exploration tools such as Power BI, Tableau, MicroStrategy, or Business Objects
Familiarity with data science methodologies, practical exposure to Jupyter or similar notebooks, and background in AI/ML operations—including LLM fine-tuning and retrieval-augmented generation (RAG)

What the job involves

We seek Staff Partner Designated Support Engineer who excel in working with data and resolving diverse technical issues across various operating systems, database technologies, big data, data integration, connectors, and networking
As a key member of our support team, you will leverage your expertise in the Snowflake Data Cloud to delight customers, address application design and integration gaps, and relay feedback to our product and engineering teams
You will also help build team knowledge and drive strategic initiatives for organizational and process improvements. Experience in a 24x7 support environment and handling all tiers of technical issues is preferred
As a Staff Partner Designated Support Engineer in our Support organization, you will work directly with application developers and our partners to solve complex development issues on the Snowflake Platform
You will debug, troubleshoot, write code, and create samples alongside other engineers. Additionally, you will document solutions and collaborate with product groups to enhance Snowflake products
Identify new opportunities to enhance the partner experience
Document known solutions to both internal and external knowledge bases
Act as a trusted technical advisor to partners, providing in-depth analysis and guidance to address complex problems through email, web, and phone communication
Collaborate with account teams to establish regular touchpoints with strategic partners to provide technical and executive-level updates, including performance and health insights
Utilize Snowflake environment, connectors, 3rd-party partner software, and tools to investigate and reproduce complex issues
Act as a stakeholder to Product, ML, and Engineering teams, influencing their roadmap and core platform capabilities based on partner feedback
Participate in incident management and on-call rotations

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

Top investors

37% employee growth in 12 months

Glassdoor (3.9)

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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