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Snowflake Data Architect Jobs (NOW HIRING)

The Data Sherpas

Data Architect

Cleveland, OH · On-site +1

$61.75 - $79.50/hr

Architect Snowflake Solutions: Design, optimize, and maintain Snowflake environments, ensuring clean data modeling, efficient data sharing, and robust warehouse performance. * Modernize Data ...

Saransh Inc

Snowflake Architect

New York, NY · On-site

$69.75 - $89.75/hr

This role requires a deep understanding of data warehousing, cloud platforms, and Snowflake architecture best practices. The ideal candidate must be local to NYC and available to work onsite (hybrid ...

Donato Technologies, Inc

Adobe Data Architect

Seattle, WA · On-site

$72.50 - $93.25/hr

Adobe Data Architect Location: Seattle, WA (Onsite) Required Skills: * Adobe Data Architect (AEP ... Journey Analytics (CJA), Snowflake (Data Sharing/Ingestion), Azure (Hybrid Cloud Services ...

CEI

Data Architect - Snowflake

Richmond, VA

$80/hr

Solutions Architect - Data & Snowflake Hybrid: Richmond, VA 23219 $80.00 /hr W2 Required Skills * Strong hands?on experience with Snowflake and Oracle Exadata, including performance tuning, RBAC ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Snowflake Data Engineer | Skills & Experience * 5+ years of experience in data engineering, data architecture, or a related technical discipline. * Strong handson experience with Snowflake, including ...

Morningstar

Senior Snowflake Data Engineer

Chicago, IL · On-site

$114K - $167K/yr

This role will be responsible for governing the Snowflake data architecture, fine-tuning system performance, and building scalable data pipelines that power analytics and business intelligence across ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN

$109K - $131K/yr

Snowflake Data Engineer | Skills & Experience * 5+ years of experience in data engineering, data architecture, or a related technical discipline. * Strong handson experience with Snowflake, including ...

Onebridge

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Snowflake Data Engineer | Skills & Experience * 5+ years of experience in data engineering, data architecture, or a related technical discipline. * Strong hands-on experience with Snowflake ...

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Snowflake Data Architect information

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$69

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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.

Senior Snowflake Data Platform Architect

HCM Staffing and Consulting

Frisco, TX • On-site

$63 - $84.50/hr

Other

Posted 3 days ago

Job description

We are seeking a Senior Snowflake Data Platform Architect to serve as a senior subject matter expert (SME) supporting a modern enterprise analytics platform built on Snowflake. This role partners closely with existing Platform Architects and senior technical leaders, contributing deep expertise in analytics-focused data architecture, modeling, reporting enablement, ELT-based system onboarding, and enterprise data integration.

This individual is not the final architectural authority, but a highly experienced practitioner who works alongside platform architects, engineering teams, and business stakeholders to onboard new data sources, refine platform patterns, and ensure Snowflake is used effectively for enterprise analytics and reporting use cases.

Scope, Accountability & Impact (Senior Level)

This role operates as a Senior individual contributor within the enterprise data platform organization. The Senior Snowflake Data Platform Architect contributes hands-on expertise while executing within established architectural guardrails defined by Platform Architects.

  • Typically 7 10 years of experience in data engineering, analytics, or data architecture roles.

  • 3+ years of hands-on experience working with Snowflake in enterprise environments.

  • Supports onboarding of individual systems or domains into Snowflake.

  • Designs analytics-ready data models and semantic views aligned to existing platform standards.

  • Escalates major architectural tradeoffs and risks to Platform Architects.

Key Responsibilities

Snowflake Platform Expertise

  • Act as a Snowflake subject matter expert partnering with Platform Architects to operationalize analytics architectures.
  • Provide hands-on guidance on schema design, workload isolation, performance tuning, and cost optimization.
  • Apply Snowflake best practices across ingestion, transformation, and consumption layers.

System Onboarding & Data Pipelines

  • Partner with technical teams and business stakeholders to onboard new source systems into Snowflake.
  • Provide architectural guidance on ELT-based ingestion and transformation patterns.
  • Collaborate on pipelines using tools such as CData Sync, Qlik Replicate, Azure Data Factory (ADF), Openflow, or similar.
  • Help define standards for incremental loading, CDC, data quality, and reliability.

Analytics & Data Modeling

  • Design analytics-optimized data models including star schemas, fact/dimension tables, and reporting-ready datasets.
  • Apply modern patterns such as medallion architectures and curated semantic views.

Reporting & BI Enablement

  • Ensure Snowflake datasets are optimized for BI tools such as Power BI and Sigma.
  • Partner with reporting teams to ensure metric consistency and reduce downstream modeling complexity.

Enterprise & SaaS Data Integration

  • Support analytical integration of data from systems such as Salesforce (strong plus for Salesforce Data Cloud / Data 360), SAP, Workday, Jira, ServiceNow, and similar platforms.
  • Translate operational and SaaS-native data models into analytics-ready Snowflake structures.

Collaboration & Emerging Capabilities

  • Work closely with Platform Architects, data engineering teams, analytics teams, and business stakeholders.
  • Maintain foundational familiarity with Snowflake Cortex and partner with AI specialists when applicable.

Required Qualifications

  • Strong hands-on experience with Snowflake as an enterprise analytics platform.

  • Advanced SQL skills and strong background in relational data warehousing.

  • Proven experience designing dimensional models and semantic data layers.

  • Experience enabling BI platforms such as Power BI or Sigma.

  • Experience working with ELT-based ingestion pipelines and enterprise data tooling.

Preferred / Strong Plus Qualifications

  • Experience with Salesforce Data Cloud (Data 360) and Salesforce data models.

  • Exposure to Snowflake Cortex (non-specialist).

  • Experience operating in large, multi-team enterprise environments.

  • Snowflake certifications such as SnowPro Core, SnowPro Advanced Architect, and / or additional advanced or specialty certifications are a plus

 

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