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Databricks Architect Jobs (NOW HIRING)

Sarian, Inc.

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Proven experience as a Data Architect or similar role with extensive experience in designing and implementing solutions on Azure Databricks. Technical Skills: * Proficiency with Azure Databricks ...

Saransh Inc

AWS & Databricks Architect

Foster City, CA

$75.50 - $99/hr

... Databricks, Spark, and AWS services. • Define and enforce architecture standards, design principles, and best practices across application and data platforms. • Ensure security, compliance, and ...

Goli Tech

Azure Databricks Architect / SME

Bellevue, WA · On-site

$71.75 - $93.50/hr

Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data ...

Diverse Lynx

Azure Databricks Architect

Minneapolis, MN · On-site

$66.25 - $86.50/hr

Diverse Lynx is a company seeking an Azure Databricks Architect to lead the design and implementation of data solutions. The role involves working with various data technologies and ensuring the ...

LTM

Azure Databrciks Architect

Raleigh, NC · On-site

$61.75 - $80.50/hr

Job Summary : LTM is seeking an Azure Databricks Architect to lead data architecture and engineering initiatives. The role involves designing and implementing data solutions using Databricks ...

The LaSalle Group

Databricks Senior Architect

Dallas, TX · On-site

$180K - $200K/yr

You'll own the end-to-end Databricks architecture (Unity Catalog, Medallion architecture, Delta Lake), lead a team of internal engineers, and direct external consulting partners to keep the migration ...

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage). * Lead the design of cloud-based ...

Infosys

Azure and Databricks Architect

Richardson, TX · On-site

$57.75 - $75.25/hr

Required Skill and Experience Strong experience in Azure cloud architecture with hands-on expertise in Azure Databricks. Deep knowledge of SQL for data transformation, optimization, and analytics.

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Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

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

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
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Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Azure Databricks Architect

Sarian, Inc.

Atlanta, GA • On-site

$61 - $79.50/hr

Full-time

Posted 13 days ago

Job description

JD:
Experience:
  • Proven experience as a Data Architect or similar role with extensive experience in designing and implementing solutions on Azure Databricks.

Technical Skills:
  • Proficiency with Azure Databricks, Apache Spark, and data processing frameworks.
  • Strong experience with Azure services (e.g., Azure Data Lake, Azure Synapse, Azure SQL).
  • Familiarity with data modeling, ETL processes, and data warehousing concepts.
  • Knowledge of programming languages such as
  • Python, Scala, or SQL.

Skills:
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to manage multiple projects and prioritize tasks effectively.
  • Certifications (Preferred): Azure Data Engineer or Azure Solutions Architect certifications.
  • Architecture Design: Design and architect scalable and high-performance data solutions on Azure Databricks, including data pipelines, data lakes, and real-time processing systems.
  • Implementation: Lead the implementation of Azure Databricks solutions, ensuring best practices for performance, security, and data governance.
  • Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
  • Optimization: Monitor and optimize data workflows and queries for performance and cost efficiency.
  • Collaboration: Work closely with data engineers, data scientists, and business stakeholders to understand requirements and deliver effective solutions.
  • Governance: Ensure data governance and security policies are implemented and adhered to within the Databricks environment.
  • Documentation: Create and maintain documentation for architecture, processes, and best practices.
  • Mentorship: Provide guidance and mentorship to junior team members and help them with technical challenges.

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