Technical Principal, Snowflake
SnowCAT
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan
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
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- Proven expertise as leader or senior contributor in a data-centric software or services team
- Deep familiarity with distributed database architectures, query processing and the drivers of performance
- Comfort integrating diverse tooling on cloud platforms including AWS, Azure and GCP
- Curiosity and motivation to work with a variety of distributed computing / database platforms in the cloud and understand strengths & weaknesses impacting performance
- Deep experience with a variety of database-centric workloads including analytic queries, data engineering / ETL, machine learning, streaming data / IOT, and transaction processing
- Expert SQL skills and strong experience in other programming languages/frameworks adjacent to Snowflake, including but not limited to Python, Java, Javascript, Scala, etc
- Experience with agents/LLMs, containerized services, data intensive applications, and/or machine learning model development
- Strong vibe coding skills to build synthetic workloads and prototypes to stress platforms and features
- Excellent communication skills in presenting to technical audiences inside and outside the company
- An ability to thrive in the dynamic environment that comes with being part of a hyper-growth company. That means flexibility and willingness to jump in and do whatever it takes to be successful
- Proven expertise in understanding the voice of the customer and partnering across engineering, marketing, and sales to deliver compelling products that meet those customers’ needs
- 20+ years of experience in a technical role for data-centric software or services -- testing and tuning products, implementing complex solutions with customers, product management, or benchmarking
What the job involves
- We are looking for a senior leader in the cloud data platform space to join our team and help shape some of the most cutting edge features at Snowflake
- This individual will work collaboratively and hands-on with Product Management and Engineering to accelerate customers adopting our most challenging features and architectures
- We are looking for an experienced professional capable of both applying their past experiences to new architectures and using their aptitude to learn the next new wave of technologies that can benefit customers on the Snowflake Data Cloud
- This position will be a part of the SnowCAT team (Customer Acceleration Team) within the product organization
- SnowCAT is a group that brings deep experience with database, application, container, machine learning, and AI technologies to investigate the newest, most demanding customer scenarios and validate emerging features and capabilities in the Snowflake product
- SnowCAT team members work closely with product managers, engineering leaders, and a variety of field organizations and customers to turn today’s ‘bleeding edge’ into tomorrow’s mainstream
- Impact Snowflake’s product success in multiple market segments and workloads
- Engage with PM and Engineering across multiple feature areas
- Engage with customer CTO’s and senior business/technical leaders to deploy, prove, evaluate, and advise on new Snowflake capabilities
- Create and advocate for new technical architectures, often backed by sample code
- Dig into selected competing cloud data platform products to evaluate their newest features and best practices and compare them against Snowflake’s capabilities
- Analyze Snowflake telemetry and understand Snowflake’s internals to investigate the root cause for feature behavior, both desired and undesired
- Communicate findings and recommendations effectively and persuasively to Product Management and Engineering leaders
- Partner with various Marketing teams to position Snowflake’s feature advantages to technical field organizations and customers
- Own and execute on multiple, concurrent SnowCAT projects, maintaining a thorough written record of progress
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
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
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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