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Snowflake Jobs in Arizona (NOW HIRING)

Sarian, Inc.

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 ...

InterSources

Snowflake Developer

Tempe, AZ · On-site

$60 - $70/hr

Snowflake Developer Location: Chicago, IL, or Tempe, AZ - Hybrid - only local candidates, need proof of residency and LinkedIn profiles Duration: 6+ Month contract Visa: Any visa but no OPT/CPT/H1-B ...

ClifyX

Snowflake Lead Consultant

Phoenix, AZ · On-site

Snowflake Architect They are looking for a Snowflake resource with good knowledge in architecting environments and hands on experience in Snowflake as well. So we might have to look for 10 to 12 year ...

Wells Fargo

Teller Part Time Snowflake

Snowflake, AZ · On-site

$13.75 - $17/hr

This position is not eligible for Visa sponsorship Posting Location(s): * 9 N Main St Snowflake, AZ 85937 @RWF22 Posting End Date: 2 Jul 2026 *Job posting may come down early due to volume of ...

Apolis

MLOps Engineer

Phoenix, AZ · On-site

Apolis is seeking an MLOps Engineer to design and build its first enterprise-scale MLOps platform on Snowflake. The role involves creating an end-to-end ML production ecosystem, partnering with data ...

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Snowflake information

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.

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 experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

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.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

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 the most commonly searched types of Snowflake jobs in Arizona? The most popular types of Snowflake jobs in Arizona are:
What are popular job titles related to Snowflake jobs in Arizona? For Snowflake jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Arizona look for? The top searched job categories for Snowflake jobs in Arizona are:
What cities in Arizona are hiring for Snowflake jobs? Cities in Arizona with the most Snowflake job openings:
Snowflake jobs near you

Snowflake Architect

Sarian, Inc.

Scottsdale, AZ • On-site

$64.25 - $82.50/hr

Full-time

Posted 19 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.

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