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Snowflake Jobs in California (NOW HIRING)

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they ...

Manager, Real Estate

Dublin, CA · On-site

$180K - $236K/yr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they ...

$55 - $65/hr

NetDocuments Snowflake Reporting Specialist Location: Burbank, CA OR Orlando, FL (Onsite) Duration: Long Term Mandatory Skill: Snowflake We are urgently looking for a NetDocuments Snowflake Reporting ...

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they ...

Corporate FP&A Analyst

Menlo Park, CA · On-site

$76K - $99K/yr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they ...

ClifyX is a company seeking a Snowflake DW Architect to design and implement effective analytics solutions. The role involves data modeling, ETL processes, and ensuring compliance with regulations ...

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they ...

Showing results 41-60

Snowflake information

See California salary details

$35

$66

$83

How much do snowflake jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for snowflake in California is $66.72, according to ZipRecruiter salary data. Most workers in this role earn between $59.09 and $75.67 per hour, depending on experience, location, and employer.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are the most commonly searched types of Snowflake jobs in California?

The most popular types of Snowflake jobs in California are:

What are popular job titles related to Snowflake jobs in California?

For Snowflake jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Snowflake jobs?

Cities in California with the most Snowflake job openings:

Infographic showing various Snowflake job openings in California as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $138,779 per year, or $66.7 per hour.

Snowflake Data Architect

Avalon Software Services LLC

Santa Clara, CA • On-site

$70/hr

Full-time

Re-posted 7 days ago


Job description

Title: Snowflake Data Architect - Onsite all 5 days
Location: Santa Clara, CA
 
Note: The candidate is required to attend the final interview in person at Santa Clara, CA
 
 
Key Requirements:
  • Strong hands-on experience in data engineering using Snowflake with proven ability to build and optimize large-scale data pipelines.
  • Deep understanding of data architecture principles, including ingestion, transformation, storage, and access control.
  • Solid experience in system design and solution architecture, focusing on scalability, reliability, and maintainability.
  • Expertise in ETL/ELT pipeline design, including data extraction, transformation, validation, and load processes.
  • In-depth knowledge of data modeling techniques (dimensional modeling, star, and snowflake schemas).
  • Skilled in optimizing compute and storage costs across Snowflake environments.
  • Strong proficiency in administration, including database design, schema management, user roles, permissions, and access control policies.
  • Hands-on experience implementing data lineage, quality, and monitoring frameworks.
  • Advanced proficiency in SQL for data processing, transformation, and automation.
  • Experience with reporting and visualization tools such as Power BI and Sigma Computing.
Excellent communication and collaboration skills, with the ability to work independently and drive technical initiatives.