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Snowpro Jobs (NOW HIRING)

Judge Group, Inc.

Snowflake Platform Engineer

Chicago, IL · On-site

$115K - $120K/yr

Snowflake SnowPro Advanced Architect Certification By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates ...

Kavaliro

Data Architect

Maitland, FL · On-site

$59.50 - $76.50/hr

SnowPro Advanced (preferred) * Strong understanding of data warehousing concepts, ETL/ELT, and cloud data architectures * Proficiency in SQL and data modeling * Ability to work across teams and ...

Pwc

Data Governance- Manager

Cleveland, OH

$99K - $232K/yr

... SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual ...

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Snowpro information

Why is Gen Z struggling to get jobs?

Gen Z faces challenges in securing jobs like Snowpro roles due to limited work experience, high competition, and evolving skill requirements such as cloud computing and certifications. Employers often seek candidates with practical skills, certifications, and adaptability to new technologies, which can be difficult for entry-level applicants to demonstrate.

What is the difference between Snowpro vs Data Engineer?

AspectSnowproData Engineer
CertificationsSnowPro CertificationTypically no specific certification, but often holds certifications like Google Cloud, AWS, or Azure Data Engineer
Work EnvironmentCloud data platforms, primarily Snowflake environmentVaried environments including cloud and on-premises, working with multiple data tools
Industry UsagePrimarily in data warehousing and cloud data platform rolesBroader data roles including data pipeline development, ETL, and data architecture

While Snowpro focuses on expertise in Snowflake data platform management and cloud data warehousing, Data Engineers have a broader scope, working across various data tools and platforms. Snowpro certification validates specific Snowflake skills, whereas Data Engineers often hold multiple certifications and possess diverse technical knowledge. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are Snowpros?

Snowpros are professional ski and snowboard instructors who are certified to teach people of all ages and skill levels on snow. They provide lessons on skiing or snowboarding techniques, safety, and mountain etiquette, often working at ski resorts or in private settings. Snowpros may hold certifications from organizations like the Professional Ski Instructors of America (PSIA) or the American Association of Snowboard Instructors (AASI). Their goal is to help students improve their skills, gain confidence on the slopes, and enjoy their snow sports experience.

What is the 3 month rule for jobs?

The 3 month rule for jobs, including roles like Snowpro, typically refers to a probationary period of three months during which an employee's performance is evaluated before confirming permanent employment. This period allows employers to assess skills, adaptability, and fit for the role, often affecting benefits and job security afterward.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like Snowpro or data engineers working with Snowflake, are in high demand due to the platform's widespread adoption for cloud data warehousing and analytics. Skills in SQL, cloud computing, and data management increase employability in this field, with many organizations seeking professionals certified in Snowflake. The demand is expected to grow as data-driven decision-making becomes more central to business operations.

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

To thrive as a SnowPro (Snowflake Certified Professional), you need deep knowledge of data warehousing concepts, SQL, and the Snowflake cloud data platform, often validated by achieving Snowflake certification. Familiarity with data integration tools, cloud platforms (such as AWS, Azure, or GCP), and performance optimization techniques is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help in translating complex data requirements into actionable solutions. These competencies are crucial for designing, managing, and optimizing data architectures that drive business insights and value.

What are some common challenges faced by Snowpro professionals when implementing Snowflake solutions for clients?

Snowpro professionals often encounter challenges such as adapting Snowflake's cloud-native architecture to fit clients’ legacy systems, optimizing data migration to prevent downtime, and ensuring data security and compliance during transitions. Collaborating closely with cross-functional teams, including data engineers and business analysts, is essential to align technical solutions with organizational goals. Staying current with Snowflake's rapidly evolving features and best practices is also vital for delivering scalable and efficient data solutions.

What jobs pay $700 a day?

In the context of Snowpro or related IT roles, jobs such as senior data engineers, cloud architects, or cybersecurity consultants can pay around $700 per day, especially for contractors or freelance professionals with specialized skills and certifications. These roles often require extensive experience, technical expertise, and sometimes certification in cloud platforms or security. Compensation varies based on location, project scope, and demand for specific skills.
More about Snowpro jobs
What cities are hiring for Snowpro jobs? Cities with the most Snowpro job openings:
What states have the most Snowpro jobs? States with the most job openings for Snowpro jobs include:
What job categories do people searching Snowpro jobs look for? The top searched job categories for Snowpro jobs are:
Snowpro jobs near you
Infographic showing various Snowpro job openings in the United States as of July 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 84% Physical, and 16% Remote job distribution.
Data Architect With Snowflake Cortex & AI Exp in VA,GA,NY (Onsite/Hybrid)

Data Architect With Snowflake Cortex & AI Exp in VA,GA,NY (Onsite/Hybrid)

Smart Caliber Technology

Manhattan, NY • On-site

$70.25 - $90.50/hr

Other

Posted 25 days ago

Job description

Role: Data Architect With Snowflake Cortex & AI Exp in VA,GA,NY
Location: Arlington, VA / Alpharetta, GA / New York, NY (Onsite/Hybrid)
Employment Type: Full-Time

About the Role

Client is seeking a highly experienced Snowflake Data Architect with expertise in Snowflake Cortex, AI-powered analytics, and modern cloud data platforms. This role will be responsible for designing and leading enterprise-scale data architectures that support advanced analytics, AI/ML initiatives, and data-driven business transformation.

The ideal candidate will bring a combination of data architecture leadership, Snowflake platform expertise, cloud data engineering knowledge, and AI integration experience, enabling organizations to build secure, scalable, and intelligent data ecosystems.

Key Responsibilities

Data Architecture & Platform Design

  • Lead end-to-end architecture and solution design for Snowflake-based data platforms.
  • Design logical, physical, and semantic data models supporting analytics, reporting, and AI/ML workloads.
  • Architect data ingestion frameworks utilizing batch, streaming, Snowpipe, and ELT/ETL methodologies.
  • Design and implement scalable data warehouses, data lakes, and lakehouse architectures.

Snowflake Optimization & Governance

  • Optimize platform performance through warehouse strategy, query tuning, workload management, autoscaling, and cost optimization.
  • Establish enterprise-grade governance frameworks covering:
    • RBAC (Role-Based Access Control)
    • Dynamic Data Masking
    • Row & Column-Level Security
    • Encryption & Secure Data Sharing
    • Data Lineage and Compliance Controls
  • Implement disaster recovery, replication, and high-availability solutions.

AI & Snowflake Cortex Solutions

  • Architect and implement AI-powered solutions using:
    • Snowflake Cortex LLM Functions
    • Cortex Search
    • Cortex Analyst
    • Document AI
    • Vector Embeddings & Semantic Search
    • Retrieval-Augmented Generation (RAG) Architectures
  • Integrate Snowflake with external LLMs and AI platforms to support:
    • Conversational Analytics
    • AI Agents
    • Fine-Tuning Workflows
    • Multimodal Data Processing

Data Engineering & Integration

  • Design scalable pipelines integrating cloud, on-premises, and SaaS data sources.
  • Implement real-time and event-driven architectures using:
    • Snowpark
    • Streams & Tasks
    • Kafka
    • Spark
    • Airflow
  • Enable governed, reusable data products for analytics and AI consumption.

Leadership & Strategy

  • Lead migrations from legacy data warehouses and cloud platforms to Snowflake.
  • Define architecture standards, best practices, and reference frameworks.
  • Mentor architects and engineers on data modeling methodologies including:
    • Data Vault 2.0
    • Kimball Dimensional Modeling
    • Hybrid Semantic Modeling
  • Conduct architecture reviews and guide enterprise data strategy initiatives.

Required Qualifications

  • 8+ years of experience in Data Architecture, Data Engineering, or Enterprise Data Platforms.
  • 4+ years of hands-on experience designing and optimizing Snowflake solutions.
  • Deep expertise with Snowflake capabilities including:
    • Virtual Warehouses
    • Resource Monitors
    • Time Travel
    • Zero-Copy Cloning
    • Data Sharing
    • Snowpark
    • Streams & Tasks
    • Security & Governance Controls
  • Strong proficiency in:
    • SQL
    • Data Modeling (Conceptual, Logical, Physical)
    • ETL/ELT Architecture
    • Cloud Platforms (AWS, Azure, or Google Cloud Platform)
  • Experience designing secure and scalable architectures for:
    • Analytics
    • Reporting
    • Data Science
    • Machine Learning
  • Strong understanding of:
    • Data Governance
    • Data Quality
    • Metadata Management
    • Compliance Frameworks (GDPR, SOC2, HIPAA)
  • Bachelor''''''''s or Master''''''''s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications

Snowflake & AI

  • Hands-on experience with:
    • Snowflake Cortex Search
    • Cortex Analyst
    • Cortex LLM Functions
    • Vector Databases & Embeddings
    • RAG Implementations
    • AI Agent Development
  • SnowPro Certifications:
    • SnowPro Core
    • SnowPro Advanced
    • SnowPro Architect

Modern Data Stack

Experience with:

  • dbt
  • Apache Airflow
  • Kafka
  • Apache Spark
  • Fivetran
  • Matillion
  • Similar modern data engineering tools

Additional Expertise

  • AI/ML Operations and Generative AI Workflows
  • Semantic Search and Knowledge Retrieval Architectures
  • Domain-Driven Design
  • Data Vault 2.0
  • Enterprise Data Governance Programs
  • Experience within Financial Services, Healthcare, Pharmaceutical, or other regulated industries

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