S

Snowflake

Runs a cloud platform for business data and AI

Technical Architect

Full-TimeUpdated on 10/14/2026
No salary listed
Senior
Tokyo, Japan
In PersonTravel to work with customers on-site as needed.
Solution EngineeringImplementation & Technical Account Management

About the job

Requirements
  • Five to eight years of technical customer-facing experience in post-sales technical delivery.
  • Ability to understand customer needs and independently propose and drive project approaches.
  • Ability to deliver effective presentations and demonstrations to technical and executive audiences.
  • Understanding of the complete data analytics stack and workflows, from extract, transform, and load through data platform design, business intelligence, and analytics tools.
  • Design and implementation skills in databases, data warehouses, and data processing.
  • Extensive practical experience with SQL and SQL analytics.
  • Experience with scripting languages such as Python, Ruby, Perl, or Bash.
  • Ability and flexibility to work on-site with customers and travel as needed.
  • Experience proposing, implementing, and applying artificial intelligence and machine learning solutions to business challenges.
Responsibilities
  • Act as a technical expert across all aspects of Snowflake.
  • Deploy Snowflake according to best practices, including sharing knowledge so customers can correctly understand and extend Snowflake capabilities.
  • Work hands-on with customers to demonstrate and communicate best practices for implementing Snowflake technology.
  • Maintain a deep understanding of competitors, complementary technologies, and vendors, and appropriately position Snowflake in relation to them.
  • Work at a deep technical level with systems integrator consultants to position and deploy Snowflake successfully in customer environments.
  • Provide solutions and guidance for customer-specific technical challenges.
  • Support team members' development of expertise and knowledge sharing.
  • Collaborate with product management, engineering, and marketing to continuously improve Snowflake products and marketing.
Desired Qualifications
  • Knowledge of large-scale database technologies such as Redshift, Netezza, Exadata, and Teradata, and experience designing and implementing them.
  • Experience with and knowledge of large-scale data processing tools such as Spark, Hadoop, and HBase.
  • Understanding of and experience with business intelligence and data exploration tools such as Tableau, Sigma, Qlik, Omni, and Looker.
  • Experience implementing extract, transform, and load pipelines using custom and packaged tools.
  • Experience and knowledge designing and building systems using public cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
  • Experience with data migration projects.
  • Experience designing and implementing artificial intelligence and machine learning on data analytics platforms.
  • Experience proposing and driving adoption of artificial intelligence products, including Snowflake Cortex.
  • Experience designing, proofing, and implementing artificial intelligence, machine learning, and generative artificial intelligence use cases.
  • Experience advising on machine learning operations, governance, monitoring, and security.
  • Experience with prompt engineering, large language model robustness, and artificial-intelligence-specific risk mitigation.

About the company

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company Size

10,001+

Company Stage

IPO

Headquarters

Menlo Park, California

Founded

2012

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Simplify's Take

What believers are saying

  • Growth supports a larger business: Snowflake product revenue rose 37% to $1.49 billion in the July 2026 quarter.
  • Employees buy discounted stock: eligible Snowflake staff pay 15% below the lower starting or ending six-month price.
  • Existing customers spend more: Snowflake reported 126% revenue retention in September 2026, after contractions and lost customers.

What critics are saying

  • Debt has a deadline: Snowflake priced $3.75 billion of notes in September 2026, maturing in 2029 and 2031.
  • Remote work is limited: Snowflake requires most employees to work from physical offices despite its globally distributed branding.
  • Suppliers also compete: AWS, Microsoft Azure, and Google Cloud host Snowflake while selling rival data platforms.

What makes Snowflake unique

  • Different engineering foundations: Snowflake built a cloud-native SQL engine; Databricks extends Spark with proprietary Photon execution.
  • Data sellers keep control: Snowflake Marketplace lets them charge for live tables without distributing copied files.
  • Software vendors enter customers' accounts: Snowflake Native Apps install business logic beside governed data instead of hosting it separately.

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Benefits

  • We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.
  • A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.
  • Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.
  • Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.
  • Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.
  • Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

2%

2 year growth

2%
PR Newswire
Oct 15th, 2026
Benchling launches Direct Data Share for two-way, near real-time sync with Snowflake

Benchling has launched Direct Data Share, a feature that keeps scientific data continuously synced between its platform and a customer's Snowflake environment. It is now in public beta for Benchling customers. Experimental data from Benchling lands in Snowflake as ready-to-query tables, refreshed in minutes. Instrument, assay, computational, and third-party data in Snowflake can flow back into Benchling. IT teams need only a one-time setup, with no custom export pipeline to build or maintain. Admins control who can start syncs and manage connections. "The time it takes to sync data from one source to another can't be the choke point for effective decision making," said Derek Halliday, Benchling's head of product. The feature builds on Benchling's AI Connectors, launched earlier this year.

Yahoo Finance
Oct 13th, 2026
Snowflake stock is up 169% in six months, but AI sales cut margins to 74%

Snowflake's stock has returned 169% over the past six months, against 14.0% for the S&P 500. But on its September 2, 2026 earnings call, executives said AI sales earn less than the rest of its products. The company cut its fiscal 2027 adjusted product gross margin forecast to 74% from 75%, citing a growing share of lower-margin AI workloads. Product revenue grew 37% year over year in fiscal Q2 2027, with AI contributing about half of the acceleration. Product revenue makes up 95% of total sales. Snowflake trades at 23.2 times sales, against 3.1 for the S&P 500, and its net margin is negative 20.1%. Management raised its adjusted operating margin forecast to 14.5% from 13.5% and still expects a GAAP profit in the fourth quarter of fiscal 2028.

Yahoo Finance
Sep 30th, 2026
UiPath and Snowflake launch two-way integration for AI agents with zero-copy data access

UiPath and Snowflake have expanded their partnership with a two-way integration now available on Snowflake Marketplace. The integration allows customers to bring Snowflake data into UiPath automations and trigger those automations directly from Snowflake without copying data between systems. The partnership includes three key components: UiPath Data Fabric, which reads and models data directly from Snowflake without duplication; UiPath Cartographer, offering native Snowflake Cortex connectivity; and Snowflake CoCo integration with UiPath's agentic skills library for executing automation directly from CoCo. The zero-copy integration maintains data governance, including access controls, policies, and auditability, whilst enabling real-time enterprise context flow into the UiPath Platform. This allows organisations to build AI agents and workflows grounded in governed, live data whilst maintaining security boundaries. UiPath is now available on Snowflake Marketplace, simplifying deployment for joint customers.

Yahoo Finance
Sep 30th, 2026
MongoDB CEO departs to Meta, stock drops 18% as valuation falls to 9.7x sales

MongoDB shares plunged 18.46% to $334.68 after chief executive Chirantan Desai departed to lead Meta's new Enterprise Platform unit. Snowflake fell 2.33% to $328.12 the same day. MongoDB generated $2.78 billion in trailing revenue, up 30.5% year-over-year, with operating margin turning positive at 3.68%. The company reported $561 million in free cash flow and holds $2.41 billion in cash against $55 million in debt. Remaining performance obligations grew 91%. Snowflake posted $5.43 billion in trailing revenue, growing 35.1% in its most recent quarter. Despite a negative 17% operating margin and $1.09 billion net loss, the company generated $1.74 billion in free cash flow. MongoDB's market value dropped to $26.9 billion, whilst Snowflake carries modest net debt.

Yahoo Finance
Sep 29th, 2026
Snowflake stock surges 115% as AI push drives accelerating revenue growth

Snowflake stock surged 115% in the six months to September 28, 2026, driven by accelerating revenue growth aided by its AI products. Early signs of the rally appeared in November 2024, when management reported remaining performance obligations growing at 55% year-over-year, signalling future revenue acceleration. Revenue growth initially remained modest, ranging between 26% and 30% through fiscal Q4 2026. However, by the time the stock began its run on March 27, 2026, revenue growth was already trending upward in filed results. The company's operating loss also narrowed significantly, from 43% of revenue in fiscal Q1 2026 to 25% by fiscal Q4 2026. This improvement continued as the operating loss shrunk to 23% of revenue over the last twelve months. Snowflake now trades at 21.1 times annual sales, compared to 3.1 times for the S&P 500.