Snowflake

3 months ago

Data Architecture Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Senior data architecture lead responsible for setting technical direction across data and analytics engineering, shaping the data platform, and driving RBAC, dbt modeling, and AI-enabled tooling. This role blends hands-on implementation with cross-team leadership, working closely with Snowflake product/engineering teams and external customers, while based in our Menlo Park office at least 3 days a week.

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Architecture & Urban Planning

Key Responsibilities

•Define and deploy architectural standards across analytics and data engineering teams, covering data modeling patterns in dbt, RBAC frameworks, deployment workflows, and code quality standards
•Build and deploy AI-powered tooling and skills — including agent frameworks, prompt-driven workflows, and LLM-enabled automation — for use across analytics and data engineering teams
•Elevate the RBAC framework for the data platform, including designing and implementing row access policies, column masking policies, and role-based access control patterns at scale in Snowflake
•Partner with Snowflake's product and engineering teams on feature testing and feedback — write meaningful product specifications, develop proof-of-concepts, and help push the Snowflake platform forward
•Represent Snowflake's internal data capabilities externally, meeting with customers to demonstrate what is possible on the platform and sharing real-world architectural patterns and learnings

Pay and Benefits

Salary: USD 248,000 - 325,500 annually

Key Requirements

•8+ years of experience in data engineering, analytics engineering, or data architecture roles
•Deep expertise in Snowflake, including advanced data modeling, RBAC design, performance optimization, and the broader Snowflake feature set (Cortex, Dynamic Tables, Streams, Tasks, etc.)
•Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
•Hands-on experience with Airflow or similar orchestration platforms for data pipeline management
•Strong proficiency with AI development tools, including experience with LLM-powered workflows, agent frameworks (e.g., Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases

Experience:8+ yearsData analyticsSaaSCloud data platform

Skills:CommunicationCollaborationStakeholder management

Tech Stack:SnowflakeDbtAirflowPythonLLMCortexClaude CodeCortex AgentsRBAC

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

3 months ago

Data Architecture Lead

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Menlo Park

Workplace: Onsite

Employment Type: Full time

Job Function: Architecture & Urban Planning

Key Responsibilities

•Define and deploy architectural standards across analytics and data engineering teams, covering data modeling patterns in dbt, RBAC frameworks, deployment workflows, and code quality standards
•Build and deploy AI-powered tooling and skills — including agent frameworks, prompt-driven workflows, and LLM-enabled automation — for use across analytics and data engineering teams
•Elevate the RBAC framework for the data platform, including designing and implementing row access policies, column masking policies, and role-based access control patterns at scale in Snowflake
•Partner with Snowflake's product and engineering teams on feature testing and feedback — write meaningful product specifications, develop proof-of-concepts, and help push the Snowflake platform forward
•Represent Snowflake's internal data capabilities externally, meeting with customers to demonstrate what is possible on the platform and sharing real-world architectural patterns and learnings

Pay and Benefits

Salary: USD 248,000 - 325,500 annually

Key Requirements

•8+ years of experience in data engineering, analytics engineering, or data architecture roles
•Deep expertise in Snowflake, including advanced data modeling, RBAC design, performance optimization, and the broader Snowflake feature set (Cortex, Dynamic Tables, Streams, Tasks, etc.)
•Expert-level dbt skills (dbt Core and/or dbt Platform), including macro development, testing frameworks, CI/CD integration, and large-scale project management
•Hands-on experience with Airflow or similar orchestration platforms for data pipeline management
•Strong proficiency with AI development tools, including experience with LLM-powered workflows, agent frameworks (e.g., Cortex Agents, Claude Code, Cortex Code), and prompt engineering for data use cases

Experience:8+ yearsData analyticsSaaSCloud data platform

Skills:CommunicationCollaborationStakeholder management

Tech Stack:SnowflakeDbtAirflowPythonLLMCortexClaude CodeCortex AgentsRBAC

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn