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Databricks Platform Architect Jobs (NOW HIRING)

MSR Cosmos

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

Role: GCP Databricks Architect Location: Davidson, NC Onsite Duration: Long Term "BRIEF POSITION ... Design and implement modern data platform architecture for enterprise applications * Ensure ...

Nexus Cognitive

Platform Architect

Atlanta, GA · On-site

Proven track record as a technical architect or lead engineer at Cloudera, Databricks, AWS EMR, or similar open-source platform providers. * Hands-on experience integrating and operating open-source ...

Entarian

Senior Databricks Platform Engineer

Arlington, VA

$120.30K - $165.10K/yr

This role's primary focus is platform management--centered on building scalable infrastructure ... In-depth knowledge of Databricks architecture, including workspaces, clusters, storage, notebook ...

Entarian

Senior Databricks Platform Engineer

Arlington, VA

$120.30K - $165.10K/yr

This role's primary focus is platform management-centered on building scalable infrastructure ... In-depth knowledge of Databricks architecture, including workspaces, clusters, storage, notebook ...

InterSources

Senior Platform Engineer

Washington, DC

$118.30K - $161.90K/yr

Databricks Platform Administrator/Databricks AWS Platform Architect Databricks Certified Data Engineer Associate/Professional AWS Certified Solutions Architect Associate or Professional

Ecom Industries

Platform Architect

Houston, TX

The Platform Architect should be self-driven and be able to work in a federated team environment ... Strong expertise with Databricks is preferred. Alternatively, similar tools like Snowflake.

Varite

USA_Platform Architect

Carrollton, TX

$57.14 - $58.82/hr

Architect pipelines for batch and real time data ingestion ... Enable scalable data processing using Spark, Databricks, Kafka, Flink, or cloud-native tools.

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Databricks Platform Architect information

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How much do databricks platform architect jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for databricks platform architect in the United States is $76.18, according to ZipRecruiter salary data. Most workers in this role earn between $68.99 and $85.10 per hour, depending on experience, location, and employer.

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

To thrive as a Databricks Platform Architect, you need a deep understanding of data engineering, cloud architecture (especially AWS, Azure, or GCP), and proficiency in big data frameworks, typically backed by a computer science degree or equivalent experience. Expertise with Databricks, Apache Spark, SQL, Python, and certifications like Databricks Certified Data Engineer or Solutions Architect are highly valuable. Strong problem-solving, stakeholder communication, and project management skills help you design scalable solutions and guide cross-functional teams. These skills are crucial for building robust, high-performance data platforms that drive analytics and business insights across organizations.

What are some common challenges faced by Databricks Platform Architects when designing scalable data solutions?

Databricks Platform Architects often encounter challenges such as balancing the need for robust data security with ensuring seamless data accessibility across teams. They must also design scalable architectures that can handle fluctuating data volumes while optimizing for cost and performance. Additionally, integrating Databricks with existing legacy systems and ensuring smooth collaboration between data engineers, data scientists, and business stakeholders are frequent hurdles. Addressing these challenges typically requires in-depth knowledge of cloud environments, strong communication skills, and a proactive approach to cross-functional collaboration.

What is a Databricks Platform Architect?

A Databricks Platform Architect is a professional who designs, implements, and manages data analytics solutions using the Databricks platform. They are responsible for architecting scalable data pipelines, integrating Databricks with other systems, and ensuring best practices for data engineering, machine learning, and analytics workloads. These architects collaborate with data engineers, data scientists, and business stakeholders to translate business requirements into robust technical solutions that leverage Databricks' capabilities. Their expertise includes knowledge of cloud platforms, Spark, big data processing, and security best practices.

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

AspectDatabricks Platform ArchitectData Engineer
Primary FocusDesigning and implementing Databricks platform solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, cloud platform knowledge, architecture skillsSQL, ETL tools, programming, cloud data services
Work EnvironmentCloud environments, enterprise data platformsData pipelines, databases, cloud data warehouses
Employer & Industry UsageTech companies, enterprises using DatabricksOrganizations managing large-scale data processing

While both roles work within data ecosystems, the Databricks Platform Architect focuses on designing and optimizing Databricks platform solutions, whereas the Data Engineer concentrates on building data pipelines and infrastructure. The architect role requires more expertise in platform architecture and cloud integration, while the data engineer emphasizes data processing and pipeline development.

Infographic showing various Databricks Platform Architect job openings in the United States as of May 2026, with employment types broken down into 17% Full Time, 77% Part Time, and 6% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $158,464 per year, or $76.2 per hour.

GCP Databricks Architect

MSR Cosmos

Davidson, NC • On-site

$59 - $76/hr

Contractor

Posted 25 days ago

Job description

Role: GCP Databricks Architect
Location: Davidson, NC Onsite
Duration: Long Term
 
"BRIEF POSITION SUMMARY
 
Experienced Data Platform Architect to design and manage enterprise grade data solutions This role will focus on building and optimizing data platforms leveraging Google Cloud Platform GCP Databricks Looker and Data form ensuring scalability security and performance across all data driven applications
 
Key Responsibilities
 
  • Data Architecture  Strategy
  • Design and implement modern data platform architecture for enterprise applications
  • Ensure seamless integration of Dataform Looker Databricks and GCP services
 
Cloud Data Platform
  • Architect solutions using Google Cloud Platform components BigQuery Dataflow Cloud Storage PubSub
  • Optimize data pipelines for performance and cost efficiency
 
Analytics  BI
  • Develop semantic models and dashboards in Looker
  • Enable selfservice analytics and governance
 
Data Engineering
  • Build and maintain data workflows using Dataform and Databricks
  • Implement best practices for data ingestion transformation and orchestration
 
DevOps for Data
  • Establish CICD pipelines for data workflows
  • Automate deployments and monitoring for data services
 
Governance  Security
  • Define and enforce data governance security and compliance standards
 
 Required Skills  Experience
  • Cloud Expertise Strong experience with GCP Data Platform
  • Data Engineering Tools Proficiency in Databricks Dataform and SQLbased transformations
  • BI Tools Advanced knowledge of Looker
  • Programming Python SQL Spark
  • DevOps Familiarity with CICD tools and Infrastructure as Code Terraform
  • Architecture Ability to design endtoend data solutions for largescale enterprise environments
 
Preferred Qualifications
  • Google Professional Data Engineer or Cloud Architect certification
  • Databricks Certified Data Engineer
  • Experience with modern data governance frameworks
  • Exposure to AIML and advanced analytics
 
Soft Skills
  • Strong communication and collaboration skills
  • Ability to work in an agile environment and manage multiple priorities
  • Thought leadership in modern data architecture principles"