Data Platform Architect, Snowflake
Data Engineering, Field CTO Office
$150-210k
Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan
AI Data Cloud for data sharing and app building
Job no longer available
AI Data Cloud for data sharing and app building
1001+ employees
Job no longer available
$150-210k
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
- As a Data Platform Architect, you must share our passion and vision in helping our customers and partners drive faster time to insight through Snowflake’s Cloud Data Platform, thrive in a dynamic environment, and have the flexibility and willingness to jump in and get things done
- You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences
- 10+ years of architecture experience within the Enterprise Data space
- Deep Technical Hands on Expertise within one or more of the following (preferably with several): Data Warehouse Modernization / Migrations, Data Lakes, Data Engineering
- 3+ years of Cloud Provider experience including certifications in AWS, GCP and/or Azure
- Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- Broad range of experience with on-prem or cloud Data Warehouse technology, streaming technologies, ETL pipelines, and Data Lakes
- Knowledge of SQL, Javascript, Python, and / or other scripting languages
- Industry Focus a plus (Education, Federal, Financial Services, Healthcare & Lifesciences, Insurance, Adv. Media, Retail CPG, Technology and Telecom)
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
What the job involves
- Our Sales Engineering organization is seeking a Data Platform Architect to join our Field CTO Office who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem
- In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures highlighting Snowflake’s Cloud Data Platform as a core technology enabling platform (Data Engineering), foundational (Data Warehouse, Data Lake, Advanced Analytics), and emerging (Data Science, Data Applications, Data Exchange) workloads throughout an organization
- Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
- Work with our product management, partners, and sales teams in order to drive innovation in our Cloud Data Platform
- Partner with sales team and channel partners to understand the needs of our customers, strategize on how to navigate and accelerate winning sales cycles, provide compelling value-based enterprise architecture deliverables and working sessions to ensure customers are set up for success operationally, and support strategic enterprise pilots / proof-of-concepts
- Collaborate closely with our Product team to effectively influence the Cloud Data Platform product roadmaps based on field team and customer feedback
- Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers
- Contribute to the creation of reference architectures, blueprints, best practices, etc. based on field experience to continue to up-level and enable our internal stakeholders
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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