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Snowflake Data Architect Jobs (NOW HIRING)

Snowflake Data Architect (***Candidate Replacement role - Quick hiring) Location : San Francisco Bay Area (CA) Only Locals (Hybrid/Onsite - weekly one day/once to Office) Exp Req : 10+ Visa : EAD ...

Snowflake Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Keeley Companies is looking to hire a Snowflake Data Architect for our IT Team in St. Louis, MO. Primary Responsibilities * Define and execute the target-state Snowflake architecture supporting ...

Snowflake Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

Snowflake Data Architect Location: New York Position Type: Contract Duration: 6 / 12 Month Work Type: Onsite Rate: Pay range offered to a successful candidate will be based on several factors ...

Snowflake Data Architect

Alpharetta, GA

$62.25 - $80/hr

... architecture, and developing the application to finally testing and implementing the proposed solution. Planning and execution of big data solutions using technologies such as Snowflake/Synapse ...

Snowflake Data Architect with Azure

Prosper, TX · Hybrid

$58.50 - $75/hr

Snowflake Data Architect Location: Dallas, TX Hybrid Visa; w2 Skills Required: Minimum 12+ years programming experience. 5+ years of experience in data architecture, data modelling, and data ...

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Snowflake Data Architect information

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How much do snowflake data architect jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for snowflake data architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What is a Snowflake Data Architect?

A Snowflake Data Architect is a specialized IT professional who designs, implements, and manages data solutions using the Snowflake cloud data platform. They are responsible for creating scalable, secure, and high-performance data architectures that support business intelligence, analytics, and data warehousing needs. Their role includes modeling data, optimizing storage and query performance, setting up data integrations, and ensuring best practices are followed in security and governance. Snowflake Data Architects often collaborate with data engineers, analysts, and business stakeholders to deliver effective data solutions tailored to organizational requirements.

What are the key skills and qualifications needed to thrive as a Snowflake Data Architect, and why are they important?

To thrive as a Snowflake Data Architect, you need deep expertise in data warehousing concepts, SQL, cloud platforms, and a strong understanding of the Snowflake architecture, often backed by a computer science degree and relevant Snowflake certifications. Proficiency in ETL tools, data modeling software, and integration with platforms like AWS, Azure, or GCP is commonly required. Strong problem-solving, communication, and project management skills help you collaborate with stakeholders and deliver scalable solutions. These capabilities ensure efficient data architecture design, optimal system performance, and alignment with organizational data strategies.

What is the difference between Snowflake Data Architect vs Data Engineer?

AspectSnowflake Data ArchitectData Engineer
Primary FocusDesigning and planning data architecture on Snowflake platformBuilding, developing, and maintaining data pipelines and infrastructure
Skills & CertificationsSnowflake certifications, data modeling, cloud architectureSQL, ETL tools, cloud platforms, programming languages
Work EnvironmentData architecture teams, cloud data platformsData pipelines, cloud environments, software development teams

While both roles work within data management, Snowflake Data Architects focus on designing data solutions specifically on Snowflake, whereas Data Engineers build and maintain the data pipelines and infrastructure across various platforms. Understanding these differences helps organizations assign the right skills to each role.

How does a Snowflake Data Architect typically collaborate with cross-functional teams during data migration projects?

As a Snowflake Data Architect, you will work closely with data engineers, business analysts, and IT project managers to design and implement efficient migration strategies from legacy systems to the Snowflake platform. You’ll be responsible for translating business requirements into technical specifications and ensuring data quality and security throughout the migration process. Regular communication and coordination with stakeholders are essential to address data modeling challenges, optimize performance, and support troubleshooting efforts. This collaborative environment fosters shared ownership of project outcomes and provides opportunities to expand your expertise in cloud-based data solutions.
What cities are hiring for Snowflake Data Architect jobs? Cities with the most Snowflake Data Architect job openings:
What states have the most Snowflake Data Architect jobs? States with the most job openings for Snowflake Data Architect jobs include:
Infographic showing various Snowflake Data Architect job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Snowflake Data Architect

Nexwave

San Francisco, CA • On-site

$75/hr

Other

Posted 15 days ago


Job description

Job Title: Snowflake Data Architect (***Candidate Replacement role - Quick hiring)

Location : San Francisco Bay Area (CA) Only Locals (Hybrid/Onsite - weekly one day/once to Office)

Exp Req : 10+

Visa : EAD/ EAD

  • Rate : $75/Hr on C2C/1099

We are seeking an experienced Snowflake Data Architect to join our BI & Analytics organization and lead the design and implementation of enterprise-scale data and analytics solutions. The ideal candidate will have 10+ years of experience in data architecture, data engineering, or analytics architecture, with deep expertise in Snowflake, data warehousing, data modeling, ETL/ELT frameworks, and cloud data platforms.

In this role, you will define end-to-end data architecture, design scalable integration solutions across enterprise applications, APIs, and SaaS platforms, and establish best practices for data governance, security, and performance optimization. You will collaborate closely with Data Engineering, Analytics, Security, and Enterprise Architecture teams to deliver secure, scalable, and high-performing data solutions. The position also involves leading architecture reviews, technical workshops, and strategic platform initiatives, including support for advanced analytics, AI, and Snowflake Cortex capabilities.

Required skills include strong hands-on experience with Snowflake, data modeling, ETL/ELT architecture, cloud-based data platforms, and stakeholder management. Experience with Matillion, Power BI, Collibra, and enterprise governance frameworks is highly preferred. Excellent communication, documentation, and leadership skills are essential for success in this role.

Stephen

Lead Talent Acquisition Specialist

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