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Full Time Snowflake Jobs (NOW HIRING)

Data Platform Architect (Snowflake)

$65.25 - $84/hr

Must have full-time permanent US work authorization Additional Requirements * Bachelor's Degree ... Snowflake ecosystems; plus occasional in-house competitions with spot bonuses * A flexible and fun ...

We're building a next-generation identity solution on a strong Snowflake foundation-and you'll play ... Dentsu Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal ...

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Full Time Snowflake information

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$35

$67

$84

How much do full time snowflake jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for full time snowflake in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

What are the typical challenges faced by Full Time Snowflake professionals when integrating Snowflake with existing data infrastructure?

Full Time Snowflake professionals often encounter challenges related to migrating legacy data systems to the Snowflake cloud platform, especially ensuring data consistency and minimizing downtime. Integrating Snowflake with various ETL tools and existing business intelligence solutions can require careful planning to optimize performance and cost. Additionally, adapting security protocols and access controls to align with Snowflake’s architecture is crucial. Collaborative problem-solving with data engineers, database administrators, and security teams is often key to successfully overcoming these integration hurdles.

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

To thrive as a Full Time Snowflake Data Engineer, you need expertise in data warehousing, SQL, and cloud platforms, often with a background in computer science or a related field. Familiarity with the Snowflake Data Cloud, ETL tools, and certifications such as Snowflake SnowPro are highly valued. Strong problem-solving, collaboration, and communication skills set top candidates apart. These competencies ensure efficient data management, seamless integration, and effective teamwork needed for successful data solutions.

What is a Full Time Snowflake developer?

A Full Time Snowflake developer is a professional who specializes in working with the Snowflake data platform on a full-time basis. Their responsibilities typically include designing, developing, and maintaining data pipelines, data warehouses, and analytics solutions within Snowflake. They work with SQL, data modeling, ETL processes, and cloud integrations to help organizations manage and analyze large volumes of data efficiently. Full Time Snowflake developers often collaborate with data engineers, analysts, and business stakeholders to deliver scalable and secure data solutions.

What is the difference between Full Time Snowflake vs Data Engineer?

AspectFull Time SnowflakeData Engineer
Required CredentialsSnowflake certifications, SQL, cloud platform knowledgeData management, SQL, cloud platforms, programming skills
Work EnvironmentCloud data platforms, analytics teamsData pipelines, ETL processes, cloud environments
Employer & Industry UsageTech companies, finance, retail using SnowflakeVarious industries, focusing on data infrastructure
Common Search & ComparisonYesYes

Full Time Snowflake roles focus on managing and optimizing data within Snowflake cloud data platforms, requiring certifications and expertise in SQL and cloud environments. Data Engineers build and maintain data pipelines and infrastructure, often working with Snowflake as part of broader data solutions. While both roles involve cloud data work, Snowflake specialists concentrate on Snowflake-specific tasks, whereas Data Engineers have a broader scope across data architecture and engineering.

More about Full Time Snowflake jobs
What cities are hiring for Full Time Snowflake jobs? Cities with the most Full Time Snowflake job openings:
What are the most commonly searched types of Snowflake jobs? The most popular types of Snowflake jobs are:
What states have the most Full Time Snowflake jobs? States with the most job openings for Full Time Snowflake jobs include:
Infographic showing various Full Time Snowflake job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.
Data Platform Architect (Snowflake)

Data Platform Architect (Snowflake)

Coastal

Remote

$65.25 - $84/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Data Platform Architect (Snowflake)
We are looking for a Data Platform Architect to help us support our continued growth. The Solution Architect is responsible for owning the overall design of the technical solution as well as recommending best practice solutions based on client needs. They provide technical guidance to the development of Salesforce.com and other SaaS applications to support business and product strategies. A Data Platform Architect facilitates discovery sessions to understand client processes and challenges and translates findings into technical requirements supported by a documented solution design. They provide thoughtful leadership and communication to project and client team members in order to build the foundation as a trusted partner.
Responsibilities
Data Architecture Design:
  • Develop and implement data architectures that align with business needs and leverage Snowflake’s capabilities for data warehousing, data lakes, and data engineering.
  • Design and implement data solutions that address specific business needs, such as BI, ETL, and AI/ML.
  • Assist with migration of data from legacy systems to Snowflake.
  • Ensure data accessibility, security, and compliance with relevant regulations and industry standards.
Data Modeling amp; Pipeline Design:
  • Design and implement data pipelines for ingesting, transforming, and loading data into Snowflake from various sources.
  • Design and implement data models within Snowflake, considering data relationships, data types, and storage requirements.
  • Monitor and optimize query performance, data ingestion, and transformation processes within the Snowflake environment.
Technical Leadership and Collaboration:
  • Collaborate with stakeholders, including business users, data engineers, data scientists, and other IT teams, to understand requirements and deliver solutions.
  • Evaluate and select appropriate tools and technologies for data integration, transformation, and analytics within the Snowflake ecosystem.
  • Provide technical leadership and guidance to data engineering and data analytics teams.
Required Skills, Education and Experience
  • 5+ years experience in solutions architecture/technical consulting for cloud data platforms with multiple workstreams
  • Deep understanding of Snowflake Architecture amp; Capabilities
  • Passionate about Data Modernization Methods and Practices
  • Strong expertise in dbt
  • Broad range of experience in large-scale database and data warehousing technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science
  • Strong verbal and presentation abilities, capable of effectively communicating ideas to clients and prospective clients at all levels of an organization
  • Understanding amp; ability to articulate the relationship between Data and Customer Relationship Management, aka the Customer360
  • Demonstrable ability to shift clients to alternative solutions when initial solutions are not a fit, with examples to support this. Demonstrable experience leading strategy and digital roadmap projects in a complex business environment
  • Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products
  • Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc
  • Deep Understanding of Architecture Patterns and API management, including real-time streaming
  • Dimensional Data Modeling Bronze, Silver, Gold, Kimball or Related Methods
  • Must have full-time permanent US work authorization
Additional Requirements
  • Bachelor’s Degree preferred, or equivalent experience
  • Implementation or Sales Experience in Salesforce Data Cloud
  • Hands on Experience on Salesforce CRM technology like Sales Cloud, Service Cloud or any Industry Clouds
  • Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI.
  • Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft Azure or Google Cloud Platform.
  • Hands-on expertise with analytics tools like Tableau, PowerBI, Looker, etc
  • Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, etc.)
Why Coastal, and what we offer:
  • Flexible working hours with an emphasis on a life-work balance (in that order!)
  • Remote friendly - “Live by the beach, work in the Cloud,” plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA; Lexington, KY
  • Unlimited Paid Time Off (RTO), 401K with Company Match, and Medical, Vision, amp; Dental coverage
  • Competitive quarterly bonus opportunities
  • Continuing education and certification reimbursements, specifically within the Salesforce amp; Snowflake ecosystems; plus occasional in-house competitions with spot bonuses
  • A flexible and fun team culture! We value transparency, support, flexibility, growth, teamwork, fun, and so much more
  • Frequent team and culture activities, virtual amp; in-person, including Lunch and Learns, Happy Hours, team-building events.
  • Monthly All-Hands calls to bring the company together, and an open-door leadership policy with access to mentorship and guidance
  • Opportunities for accelerated growth, networking, and career guidance and support
  • Trust, transparency and respect across all levels of the company
Coastal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.