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Snowflake Jobs in Gilbert, AZ (NOW HIRING)

Snowflake Architect

Scottsdale, AZ · On-site

$64.25 - $82.50/hr

Must Have Technical/Functional Skills The Snowflake Architect will lead the design, development, and maintenance of advanced data infrastructure on the Snowflake platform. This role involves ...

Dbt/Snowflake Preferred skills: Informatica Detailed We are seeking a Technical Lead, Data Engineering with strong hands-on expertise in Snowflake-based cloud data warehousing and modern ELT ...

Title: SQL/Snowflake Data Analyst Location: Remote Hours: 8 AM - 5 PM EST Start Date: June 27 Length: 12 months CTH (Contract-to-Hire) Interview Process: 2 Rounds (1 Culture Fit + 1 Technical ...

Dbt/Snowflake Preferred skills: Informatica Detailed We are seeking a Technical Lead, Data Engineering with strong hands-on expertise in Snowflake-based cloud data warehousing and modern ELT ...

Strong in Snowflake Strong in Power BI Strong in Cube Experienced in Microsoft Fabric Able to lead technically, guide others, and give clear technical direction Proactive, hands-on, and able to work ...

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

Responsibilities : • Own the evolution of Virtuous's data platform, primarily on Snowflake and dbt, as a secure, scalable, and AI-ready system. • Design data models, metadata, and access patterns ...

Lead Data Platform Engineer

Phoenix, AZ · On-site

$101K - $134K/yr

Responsibilities : • Own the evolution of Virtuous's data platform, primarily on Snowflake and dbt, as a secure, scalable, and AI-ready system. • Design data models, metadata, and access patterns ...

Senior Data & AI Engineer

Phoenix, AZ · On-site

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep hands‑on experience in Snowflake, Microsoft Fabric (incl. OneLake), and healthcare data ecosystems. The ideal candidate ...

Senior Data & AI Engineer

Phoenix, AZ · Remote

$100K - $136K/yr

Position Profile The Senior Data & AI Engineer will need to have deep handson experience in Snowflake, Microsoft Fabric (incl. OneLake), and healthcare data ecosystems. The ideal candidate ...

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Snowflake information

See Gilbert, AZ salary details

$35

$67

$84

How much do snowflake jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for snowflake in Gilbert, AZ is $67.39, according to ZipRecruiter salary data. Most workers in this role earn between $59.66 and $76.44 per hour, depending on experience, location, and employer.

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.

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 popular job titles related to Snowflake jobs in Gilbert, AZ? For Snowflake jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Gilbert, AZ look for? The top searched job categories for Snowflake jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Snowflake jobs? Cities near Gilbert, AZ with the most Snowflake job openings:
Infographic showing various Snowflake job openings in Gilbert, AZ as of August 2026, with employment types broken down into 89% Full Time, 2% Part Time, and 9% Contract. Highlights an 75% Physical, 7% Hybrid, and 18% Remote job distribution, with an average salary of $140,172 per year, or $67.4 per hour.

Snowflake Architect

Sarian, Inc.

Scottsdale, AZ • On-site

$64.25 - $82.50/hr

Full-time

Re-posted 26 days ago


Job description

JD:
Must Have Technical/Functional Skills
The Snowflake Architect will lead the design, development, and maintenance of advanced data infrastructure on the Snowflake platform. This role involves collaborating with cross-functional teams, providing technical leadership, and ensuring that the data architecture is scalable, secure, and aligned with business objectives. The ideal candidate will have extensive experience in data engineering, Snowflake optimization, and cloud-based data warehousing solutions.
  • Architect & Design: Lead the design and development of data architectures and scalable solutions on the Snowflake platform to support large-scale data analytics.
  • Leadership & Mentorship: Provide technical guidance and mentorship to junior data engineers, ensuring best practices are followed.
  • ETL/ELT Strategy: Develop and oversee the implementation of efficient ETL/ELT processes, using Snowflake's native features and third-party tools.
  • Extensive Snowflake Experience: Deep expertise with Snowflake features, such as Snowpipe, Streams, Tasks, Materialized Views, Marketplace, and Data Sharing.
  • APIs: Strong expertise in extracting or ingesting data from APIs.
  • Data Quality: Knowledgeable with Data Quality concepts and best practices.
  • Data Warehousing: Strong experience in data modeling, data warehousing concepts (e.g., star/snowflake schemas), and big data technologies.
  • SQL Mastery: Advanced SQL proficiency with a focus on optimization, complex queries, and troubleshooting.
  • Cloud Expertise: Hands-on experience with cloud environments like AWS, GCP, or Azure, particularly in deploying and managing Snowflake clusters.
  • ETL/ELT: Proficiency with ETL/ELT tools such as FiveTran, Matillion, Talend, or Informatica, and hands-on experience with data integration processes.

Roles & Responsibilities
  • Performance Optimization: Optimize Snowflake performance, including tuning of warehouses, queries, and data ingestion processes to ensure speed and efficiency.
  • Data Governance: Establish and enforce data governance, security, and compliance standards, ensuring the highest level of data integrity and privacy.
  • Automation & Orchestration: Implement automation and orchestration for data pipelines, leveraging Azure and Snowflake features.
  • Collaboration: Work closely with data architects, data scientists, and business analysts to align data infrastructure with business needs and analytics requirements.
  • Innovation & Best Practices: Stay updated on the latest Snowflake features and best practices, and introduce new technologies or methodologies to improve the data infrastructure.
  • Cloud Integration: Lead cloud integration efforts, including deployment and maintenance of Snowflake on Azure.
  • Documentation: Create and maintain comprehensive technical documentation for data architecture, pipelines, and processes.
  • Scripting & Automation: Advanced scripting skills (e.g., Python, Bash) for automating data processes and integrating with CI/CD pipelines.Machine Learning:
  • Strong experience creating and tuning machine learning models in Azure and Snowflake.