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Snowflake Architect Salary Jobs (NOW HIRING)

Capgemini

Snowflake AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

Own Snowflake platform architecture, including: * Schemas * Views * Streams * Tasks * Snowpipes ... In addition to base salary, this role may be eligible for additional compensation such as variable ...

United Airlines

Snowflake AI Data Engineer

Manhattan, NY

$126K - $151K/yr

Own Snowflake platform architecture, including: * Schemas * Views * Streams * Tasks * Snowpipes ... In addition to base salary, this role may be eligible for additional compensation such as variable ...

Snowflake

Senior Solution Engineer

New York, NY · On-site

$165K - $216K/yr

Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits ... If you have strong opinions about data architecture and enjoy proving them with working code, you ...

Cognizant

Sr. Snowflake Technical Lead

Charlotte, NC · On-site

$150 - $175/hr

Lead the architecture, design, and implementation of enterprise Snowflake Data Warehouse and ... Salary and Other Compensation Applications will be accepted until August 09, 2026. The annual ...

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Snowflake Architect Salary information

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$71

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How much do snowflake architect salary jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for snowflake architect salary in the United States is $71.14, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $84.62 per hour, depending on experience, location, and employer.

What is the average salary of a Snowflake architect?

The average salary of a Snowflake Architect in the United States typically ranges from $130,000 to $180,000 per year, depending on experience, location, and industry. Senior Snowflake Architects with extensive cloud and data engineering expertise may earn upwards of $200,000 annually or more, especially in major tech hubs. Salary can also be influenced by certifications, company size, and additional skills such as AWS, Azure, or Google Cloud Platform integration.

What factors can influence the salary range for a Snowflake architect?

The salary for a Snowflake Architect can vary significantly based on factors such as years of experience, the complexity of past Snowflake implementations, industry certifications, and the geographic location of the employer. Additionally, experience with related cloud platforms (like AWS, Azure, or GCP), leadership responsibilities, and the size or maturity of the organization's data infrastructure can also impact compensation. Large enterprises or those with advanced data needs may offer higher salaries to attract candidates with deep expertise in Snowflake and data engineering.

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

To thrive as a Snowflake Architect, you need expertise in cloud data warehousing, data modeling, and SQL, typically supported by a degree in computer science or a related field. Proficiency with the Snowflake platform, ETL tools, and certifications such as SnowPro Core or Advanced Architect are highly valued. Strong problem-solving, communication, and project management skills help you collaborate effectively and deliver scalable solutions. These skills ensure the successful design, implementation, and optimization of robust data architectures that meet business needs.

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

AspectSnowflake Architect SalaryData Engineer Salary
Required CredentialsSnowflake certifications, SQL, cloud platform knowledgeSQL, cloud platform experience, sometimes certifications
Work EnvironmentDesigning data solutions, architecture planningBuilding and maintaining data pipelines
Industry UsageData architecture, cloud data solutionsData processing, ETL, data pipeline development

Snowflake Architects typically earn higher salaries than Data Engineers due to their focus on designing complex data solutions and architecture. While both roles require cloud and SQL skills, Snowflake Architects often hold specialized certifications and focus on strategic data architecture, leading to higher compensation compared to Data Engineers who primarily build and maintain data pipelines.

How much do Snowflake architects make?

Snowflake architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in data warehousing and cloud architecture can earn higher salaries, often exceeding $200,000 with bonuses and benefits.

What does a Snowflake architect do?

A Snowflake architect designs and implements data warehousing solutions using the Snowflake platform. They develop data models, optimize performance, ensure data security, and collaborate with data engineers and analysts to meet organizational data needs. Proficiency in SQL, cloud environments, and understanding of data governance are essential skills for this role.
Infographic showing various Snowflake Architect Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $147,965 per year, or $71.1 per hour.

Snowflake Engineer (Snowflake Cortex & Data Engineering)

Navigant Consulting

Mclean, VA • On-site

$98K - $163K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago

Job description

Job Family:
Data Science & Analysis
Travel Required:
Up to 10%
Clearance Required:
Ability to Obtain Public Trust
What You Will Do:
  • Design, develop, and optimize Snowflake data solutions supporting enterprise analytics, reporting, and data-driven decision making.
  • Build scalable batch and near real-time data ingestion and processing pipelines using Snowpipe, Streams, Tasks, Dynamic Tables, and Snowpark.
  • Develop and maintain advanced SQL-based solutions, including complex stored procedures, UDFs, views, and reusable data transformation frameworks.
  • Design and implement enterprise-grade ELT/ETL pipelines and metadata-driven automation frameworks.
  • Optimize Snowflake performance, scalability, reliability, and cost through query tuning, workload optimization, and platform best practices.
  • Implement secure, governed data solutions leveraging Snowflake native capabilities, including RBAC, data sharing, and governance controls.
  • Design and support enterprise data warehouse, data mart, and lakehouse architectures.
  • Integrate data from cloud, on-premises, API, and SaaS data sources.
  • Collaborate with architects, analysts, product owners, and business stakeholders to deliver high-quality data products and solutions.
  • Provide production support, monitoring, troubleshooting, incident resolution, and continuous platform improvement.
  • Support AI and advanced analytics initiatives leveraging Snowflake Cortex, Snowpark, and related Snowflake capabilities.

What You Will Need:
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
  • Bachelors Degree
  • FIVE (5) or more years of data engineering experience, including TWO (2) years of hands-on Snowflake experience.
  • Experience in SQL development with extensive experience building and optimizing complex queries against large datasets.
  • Experience developing and maintaining stored procedures, UDFs, views, and data transformation logic.
  • Deep understanding of Snowflake architecture, including Virtual Warehouses, micro-partitions, clustering, caching, and performance optimization.
  • Hands-on experience designing, implementing, and supporting Snowflake-native capabilities, including Snowpipe, Streams, Tasks, Dynamic Tables, Change Data Capture (CDC) patterns
  • Experience administering secure, scalable Snowflake environments and implementing RBAC, data access controls, and governance frameworks.
  • Experience building scalable ELT/ETL frameworks and enterprise data pipelines.
  • Experience with data quality, reconciliation, monitoring, and operational support processes.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with CI/CD pipelines, Git-based source control, Infrastructure as Code (IaC), and automated deployment practices.
  • Familiarity with production support, observability, incident management, and operational readiness best practices.

What Would Be Nice To Have:
  • Hands-on experience implementing Snowflake Cortex capabilities and AI-powered data solutions.
  • Familiarity with production support, observability, incident management, and operational readiness best practices.
  • Experience with Cortex AI functions, semantic search, intelligent data applications, and AI-driven analytics.
  • Experience leveraging Snowpark (Python) for advanced data engineering, analytics, and AI/ML workloads.
  • Understanding of Retrieval-Augmented Generation (RAG), vector search, LLM-powered applications, and generative AI use cases within Snowflake.
  • Experience with dbt and modern analytics engineering practices.
  • Strong Python development experience.
  • SnowPro Core, SnowPro Advanced, or other Snowflake certifications.
  • Experience supporting regulated industries or large enterprise environments.
  • Experience designing cloud-native data products that support machine learning, advanced analytics, and AI initiatives.

The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse
Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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