Senior Forward Deployed Engineer, Snowflake
SnowConvert AI
$200-287.5k
+ Equity
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
$200-287.5k
+ Equity
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- Bachelor's degree in Computer Science, Information Systems, or a related field
- Excellent problem-solving, analytical, and communication skills
- Proficiency in programming and scripting languages such as Python, Go, Java or C++
- Experience with developing AI/ML applications
- Strong understanding of data modeling, data warehousing & data lake concepts, and cloud data platforms
- Ability to work independently and collaboratively in a client-facing environment
- To accelerate successful outcomes and foster trust, the role may involve travel up to 20% of the time to collaborate with teams and stakeholders
Desirable
- Strong proficiency in SQL and experience working with relational databases and data integration technologies
- Experience with cloud platforms (AWS, Azure, GCP)
- Experience implementing solutions on the Snowflake Data Cloud
What the job involves
- As a Senior Forward Deployed Engineer (FDE), you will be embedded with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud
- You will partner closely with clients to understand their business challenges and design, build, and implement cutting-edge data solutions on Snowflake
- Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives
- You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake
- Software Development: Design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Create comprehensive documentation for developed solutions, technical configurations, and best practices
- Data Engineering & Platform Implementation: Design and implement scalable data pipelines and modern data architectures on Snowflake. Ensure data quality, integrity, and efficient processing within the customer's modern data environment
- Performance Optimization & Best Practices: Analyze and optimize data models, queries, and data processing workflows to maximize performance, efficiency, and cost-effectiveness within the Snowflake environment. Champion Snowflake best practices
- Modern Data Solutions: Evaluate, recommend, and implement modern data integration tools and techniques suitable for the Snowflake ecosystem, helping customers evolve their data capabilities
- Client Collaboration and Enablement: Provide expert technical guidance, mentorship, and training to client teams on leveraging the Snowflake platform effectively, including data management, analytics, AI/ML capabilities, and reporting/BI integration
- Troubleshooting and Support: Identify and resolve technical challenges, performance bottlenecks, and operational issues
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 193 more jobs at Snowflake