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Databricks Architect Jobs (NOW HIRING)

Omm IT Solutions

Sr. Databricks Architect

Jersey City, NJ · On-site

$70.75 - $93/hr

Databricks Platform Architecture, AWS Infrastructure (S3, IAM, VPC design, and PrivateLink). \n \n \n \n \n \n \n \n \n We are seeking an experienced Sr. Databricks Architect to lead the design ...

Scalence L.L.C.

Azure Databricks Architect

Louisville, KY · On-site

$61 - $79.50/hr

C. is seeking an Azure Databricks Architect to join their team. The primary responsibility of this role is to design and implement Azure ADB architectures, leveraging strong problem-solving and ...

Inherent Technologies

Azure Databricks Architect

Chandler, AZ · Remote

$65 - $84.75/hr

Azure Databricks Architect Location: Minneapolis/Remote 12+ years of Data Solutions Design/Development Experience with at-least 2+ years working as Lead Data Architect for a medium to large sized ...

CDW

Principal Databricks Architect Consultant

The Principal Consulting Engineer - Databricks ensures scalable data architecture solutions are designed and implemented using the Databricks platform to the customer's satisfaction and approval.

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 ...

CDW

Principal Databricks Architect Consultant

Description The Principal Consulting Engineer - Databricks ensures scalable data architecture solutions are designed and implemented using the Databricks platform to the customer's satisfaction and ...

Bounteous

Principal Databricks Architect

We are seeking a Lead Databricks Engineer/Architect to design, build, and scale our cloud-based lakehouse platform. In this role, you will own the end-to-end architecture of our data ecosystem on ...

Brillio

Databricks Architect - R01568474

Edison, NJ · On-site

$162 - $198/hr

Databricks Architect Experience 12-15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and AI/GenAI solutions, with proven experience designing and delivering ...

Bounteous

Principal Databricks Architect

Charleston, WV · Remote

$190K - $200K/yr

We are seeking a Lead Databricks Engineer/Architect to design, build, and scale our cloud-based lakehouse platform. In this role, you will own the end-to-end architecture of our data ecosystem on ...

CDW

Principal Databricks Architect Consultant

The Principal Consulting Engineer - Databricks ensures scalable data architecture solutions are designed and implemented using the Databricks platform to the customer's satisfaction and approval.

Agility Technologies Inc

Solutions/Databricks Architect

$66.25 - $87/hr

The Databricks Architect will design, implement, and optimize our enterprise data lakehouse platform. The ideal candidate will be a technical leader with deep expertise in Databricks, cloud data ...

Brillio

Databricks Architect - R01568474

Edison, NJ · On-site +1

$180K - $190K/yr

Databricks Architect Experience 12-15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and AI/GenAI solutions, with proven experience designing and delivering ...

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Databricks Architect information

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

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.

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.

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Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in the United States as of August 2026, with employment types broken down into 24% Full Time, and 76% Contract. Highlights an 76% In-person, and 24% Remote job distribution.

Sr. Databricks Architect

Omm IT Solutions

Jersey City, NJ • On-site

$70.75 - $93/hr

Contractor

Re-posted 4 days ago

Job description

\n <\/head>\n \n \n
\n PLEASE NOTE:
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  • It is a 100% Onsite position in Jersey City, NJ.
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    <\/b><\/span><\/span>\n <\/div>\n
    \n KEY REQUIRED SKILLS:<\/b><\/span><\/span><\/u>
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    • Databricks Platform Architecture, AWS Infrastructure (S3, IAM, VPC design, and PrivateLink).
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      \n
      <\/b><\/span><\/span>\n <\/div>\n
      \n JOB DESCRIPTION:<\/b><\/span><\/span><\/u>
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      \n We are seeking an experienced Sr. Databricks Architect to lead the design, deployment, and security architecture of enterprise\-scale Databricks platforms on AWS. The ideal candidate will possess deep expertise in Databricks infrastructure, cloud architecture, Terraform automation, and AWS networking while serving as the technical leader for customer architecture workshops and platform enablement sessions.
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      <\/u><\/b><\/span><\/span>\n <\/div>\n
      \n KEY RESPONSIBILITIES:<\/u><\/b>
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      • Design, deploy, and manage Databricks Classic and Serverless workspaces on AWS.
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      • Architect secure and scalable Databricks platform infrastructure, including networking, storage, identity, and access management.
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      • Develop and maintain reusable Terraform modules for provisioning AWS and Databricks resources.
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      • Implement Databricks platform security, including workspace isolation, cluster access controls, secret management, and secure networking.
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      • Lead architecture workshops, technical enablement sessions, and solution discussions with customer and stakeholder teams.
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      • Support Databricks security accreditation, governance, and compliance initiatives.
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      • Collaborate with cloud, network, infrastructure, and security teams to validate architecture and resolve deployment challenges.
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      • Produce architecture diagrams, deployment documentation, operational runbooks, and platform standards.
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      • Recommend infrastructure improvements, automation strategies, and cloud best practices.
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      • Ensure enterprise\-grade reliability, scalability, and security across the Databricks platform.<\/span><\/span><\/span>
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        Requirements<\/h3>\n
        \n REQUIRED QUALIFICATIONS:<\/u><\/b> <\/span>
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        • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.<\/b><\/span>
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        • 10+ years of experience in cloud engineering, platform engineering, or solution architecture.<\/span>
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        • 3-5 years of hands\-on experience architecting and deploying Databricks on AWS.<\/span>
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        • Strong experience deploying both Databricks Classic and Serverless workspaces.<\/span>
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        • Hands\-on experience with Terraform for infrastructure provisioning and Infrastructure as Code (IaC).<\/span>
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        • Deep understanding of AWS networking, storage, and identity services.<\/span>
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        • Strong expertise in Databricks security architecture and governance.<\/span>
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        • Experience leading technical workshops, architecture reviews, and stakeholder discussions.<\/span>
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        • Excellent problem\-solving, documentation, and communication skills.<\/span>
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          \n PREFERRED QUALIFICATIONS:<\/u><\/b><\/span>
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          • AWS Solutions Architect or Databricks certifications.<\/b><\/span>
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          • Experience implementing enterprise cloud security and governance frameworks.<\/span>
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          • Experience working in highly regulated industries such as banking or financial services.<\/span>
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          • Familiarity with CI\/CD pipelines and DevOps automation.<\/span>
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          • Experience designing multi\-account AWS environments.<\/span>
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          • Knowledge of cloud compliance standards and security best practices.<\/span>
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          • Experience mentoring engineering teams and establishing architecture standards.<\/span><\/span>
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