2

Remote Snowflake Jobs (NOW HIRING)

Remote or hybrid work options * Competitive salary + bonus opportunities * Robust benefits package ... We are seeking a Principal Data Architect with deep Snowflake expertise to lead the design and ...

Snowflake Architect

$65.25 - $84/hr

... of Snowflake cloud data warehouse. • Expertise in Data modelling, ELT using snowflake, implementing complex stored Procedures and standard DWH and ETL concepts. • Experience in Data Migration ...

We are seeking a Senior Snowflake Engineer to design, build, and optimize our cloud data platform ... Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote We ...

We are seeking a Senior Snowflake Engineer to design, build, and optimize our cloud data platform ... Bounteous is willing to sponsor eligible candidates for employment visas. #BI-Remote #LI-Remote We ...

Data Engineer with Snowflake

$117K - $140K/yr

Day to Day job Duties: • Build ETL data pipelines in Snowflake. • Develop Snowflake views using features like CTE, time travel zero copy cloning. • Develop and execute unit test cases. • ...

Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ... This position is not located in the aforementioned locations but applications for remote work may ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance ... Demonstrated strength with querying Snowflake and other DBs with T-SQL for database queries ...

Snowflake Data Engineer

Irvine, CA · On-site +1

$122K - $147K/yr

Responsibilities: • Design and implement scalable data architectures and pipelines on Snowflake to support enterprise data products • Translate business and product requirements into technical ...

next page

Showing results 1-20

Remote Snowflake information

See salary details

$35

$67

$84

How much do remote snowflake jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for remote 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.

Is it hard to get hired at Snowflake?

Getting hired for a remote Snowflake role can be competitive, as the company seeks candidates with strong data warehousing skills, cloud platform experience, and proficiency in SQL and Python. Candidates often go through multiple interview rounds assessing technical knowledge and problem-solving abilities. Having relevant certifications and a solid understanding of cloud environments can improve chances of success.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly sought after, and many organizations are hiring for these positions to support data-driven decision making.

What are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a Remote Snowflake job?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

How to make $80,000 a year working from home?

A remote Snowflake professional can earn $80,000 or more annually by gaining expertise in data warehousing, SQL, and cloud platforms, often requiring certifications like Snowflake Certified Data Engineer. Building a strong portfolio, demonstrating technical skills, and working for companies that offer remote roles with competitive salaries can help achieve this income level.

Does Snowflake offer remote jobs?

Yes, Snowflake offers remote job opportunities across various roles, including positions in data engineering, software development, and sales. Many of these roles are fully remote or have flexible work arrangements, often requiring familiarity with cloud platforms and data tools.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

More about Remote Snowflake jobs
What cities are hiring for Remote Snowflake jobs? Cities with the most Remote 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 Remote Snowflake jobs? States with the most job openings for Remote Snowflake jobs include:
Infographic showing various Remote Snowflake job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.
Principal Data Architect (Snowflake)

Principal Data Architect (Snowflake)

Sparq

Remote

Full-time

Retirement, PTO

Posted 14 days ago


Job description

At Sparq, we help companies solve the right problems-not just build more technology.
We're a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact.
If you're driven to build what's next, lead with empathy, and deliver excellence without ego, you'll feel right at home at Sparq.
C2C is not available
Must be authorized to work in the U.S. without sponsorship
Why you will enjoy Mondays again:
  • Opportunity to work alongside a talented, diverse team in a collaborative and creative environment
  • Ongoing investment in your growth through training, mentorship, and industry certifications
  • Hands-on exposure to cutting-edge technologies across multiple industries
  • Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program
  • Remote or hybrid work options
  • Competitive salary + bonus opportunities
  • Robust benefits package, matching 401(k) plan, and substantial PTO
  • Tuition reimbursement

A Day in the Life:
We are seeking a Principal Data Architect with deep Snowflake expertise to lead the design and evolution of a modern, cloud-native data platform. You will be responsible for architecting medallion/lakehouse patterns, enforcing data governance across sensitive and regulated datasets, and translating architectural decisions into clear commercial trade-offs for stakeholders. This is a hands-on architecture role with real influence over platform direction.
  • Design and evolve scalable Snowflake-based data architectures incorporating medallion and lakehouse patterns with robust schema evolution strategies
  • Architect and implement data governance and security frameworks including classification, tagging, RBAC, and dynamic data masking for PII and regulated data using Snowflake Horizon
  • Lead integration design across the ingestion stack, including Fivetran, CData, dbt, Snowpark, and Salesforce as a primary source system
  • Collaborate with Azure data platform teams to design storage, networking, and private connectivity patterns, with strong knowledge of Azure SQL source systems
  • Actively use AI tools, including Claude through our Anthropic partnership, to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously seeking new ways to integrate AI into your everyday workflows
  • Build consumption and cost forecasting models; articulate architectural trade-offs and their business implications to executive stakeholders
  • Define and enforce standards for data modeling, pipeline design, data quality, lineage, and observability across the platform
  • Partner with data engineering, analytics, security, and compliance teams to ensure platform decisions align with regulatory requirements
  • Mentor engineers and elevate system-level thinking across the team

What it takes:
  • Deep, hands-on Snowflake architecture experience; SnowPro Advanced: Architect certification strongly preferred
  • Proven track record designing medallion/lakehouse patterns and managing schema evolution at enterprise scale
  • Strong Azure data-platform experience including storage, networking, and private connectivity, with knowledge of Azure SQL source systems
  • Expert-level understanding of data governance and security: classification, tagging, RBAC, dynamic data masking, and Snowflake Horizon for sensitive and regulated PII
  • Hands-on familiarity with the modern ingestion tool landscape: Fivetran, CData, dbt, Snowpark, and Salesforce as a data source
  • Ability to build consumption and cost forecasts and translate technical decisions into commercial trade-offs for executive audiences
  • Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role
  • Strong communication skills with the ability to explain complex architectural concepts to technical, business, and executive stakeholders
  • Exposure to Snowflake Cortex AI, LLM-on-warehouse capabilities, semantic model design, RAG database table design, or Cortex Search is a plus.

Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you'll fit right in.
Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.
We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting recruiting@teamsparq.com
#LI-REMOTE