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Remote Databricks Architect Jobs in Mountain View, CA

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Remote 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ... databricks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep ...

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

Resident Solutions Architect Job Type: Fulltime Location ... Remote • 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting ...

AI Engineer

San Francisco, CA · On-site +1

$155K - $180K/yr

We will also consider highly qualified remote candidates who can travel to San Francisco for in ... AWS, GCP, Databricks, Airflow, Datadog • AI: Vertex AI, GCP Model Garden, MLflow, Databricks ...

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Contribute to AI platform architecture and technical strategy. * Mentor engineers and help elevate ... Experience building distributed ML systems and pipelines using AWS and Databricks. * Strong ...

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Remote Databricks Architect information

See Mountain View, CA salary details

$11

$82

$113

How much do remote databricks architect jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for remote databricks architect in Mountain View, CA is $82.65, according to ZipRecruiter salary data. Most workers in this role earn between $73.46 and $96.39 per hour, depending on experience, location, and employer.

What is the difference between Remote Databricks Architect vs Remote Data Engineer?

AspectRemote Databricks ArchitectRemote Data Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding and maintaining data pipelines and infrastructure
Required SkillsDatabricks, Spark, cloud platforms, architecture designETL, SQL, Python, cloud data tools
CertificationsDatabricks certifications, cloud certificationsCloud certifications, SQL, Python skills
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks on data pipeline development, data modeling

While both roles work within data environments and often in cloud settings, the Remote Databricks Architect focuses on designing scalable data solutions using Databricks, whereas the Remote Data Engineer primarily builds and maintains data pipelines and infrastructure. The architect role emphasizes architecture and strategy, while the data engineer role emphasizes implementation and operational tasks.

What cities near Mountain View, CA are hiring for Remote Databricks Architect jobs?

Cities near Mountain View, CA with the most Remote Databricks Architect job openings:

Infographic showing various Remote Databricks Architect job openings in Mountain View, CA as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $171,909 per year, or $82.6 per hour.

Databricks Architect

Pleasanton, CA • Remote

$72 - $94.50/hr

Full-time

Re-posted 9 days ago


Job description

Company Description

Data Piper provides specialized and competitive talent to help you build your team's capabilities and success. Our staff have proven experience from the most competitive companies in Silicon Valley, so you know they have the experience and dedication that you can trust. For short or long-term assignments, we will take the hassle out of finding the next perfect fit for your team.

Job Description

Title: Resident Solutions Architect

Job Type: Fulltime

Location: Remote

 

10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience

Completed Data Engineering Professional certification & required classes

Hands-on experience in development on databricks

Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one

Deep experience with distributed computing with Spark with knowledge of Spark runtime internals

Familiarity with CI/CD for production deployments

Working knowledge of MLOps

Current knowledge across the breadth of Databricks product and platform features

Qualifications

Databricks, Unity Catalog, DLT Familiarity with Machine Learning

Additional Information

All your information will be kept confidential according to EEO guidelines.