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Databricks Architect Jobs (NOW HIRING)

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Title: Resident Solutions Architect Job Type: Fulltime Location: Remote 10+ years experience in ... databricks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep ...

Databricks Architect - SFO, CA

San Francisco, CA · On-site

$76.25 - $100.25/hr

Databricks Architect Location: SFO, CA W2 Contract Core skills needed - * 12-15+ years of experience in Data Engineering, Data Platforms, Data Analytics, and Modern Data Warehouse solutions, with 10+ ...

AWS/Azure Databricks Architect

Raritan, NJ · On-site

$66.25 - $87/hr

AWS/Azure Databricks Architect Location Raritan NJ Omsite Role Summary We are looking for an experienced AWS Databricks Architect to design implement and optimize scalable Lakehouse solutions across ...

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Job Overview We are looking for a highly senior, deeply hands on Databricks Architect to lead a large‑scale Oracle‑to‑Databricks migration, covering schema migration, code conversion, and ODI ...

Sr. Databricks Architect

Dallas, TX · On-site

$64.25 - $84.50/hr

Senior Databricks Architect Domain : Financial Services Location : Dallas, TX/Florham Park, NJ Key Responsibilities: · Architect and implement end-to-end data solutions using Databricks Lakehouse ...

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

Resident Solutions Architect Job Type: Fulltime Location: Remote • 10+ years experience in data ... experience in development on databricks • Working knowledge of two or more common Cloud ...

Databricks Platform Architect

Jersey City, NJ · On-site

$67.50 - $88.75/hr

Databricks Architect (Enterprise Data Platform) Experience: 10+ Years Location- NJ, Hybrid Client- BMS Note- Need Independent candidate for C2H after 3-6 months We are seeking a highly skilled ...

About Cuesta Partners We are looking for a Databricks Architect to lead the delivery of data engineering solutions in a client-facing environment. This is a hands-on leadership role where you will ...

Azure Databricks Architect

$65 - $84.75/hr

Azure Databricks Architect - Remote with Travel to NJ Location : Jersey City, NJ * Data Engineering Execution Build and maintain ingestion frameworks (ADF / Databricks / Spark) * Implement Bronze ...

Sr. Databricks Architect

Jersey City, NJ

$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 ...

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.

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 ...

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 ...

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 ...

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 ...

Showing results 41-60

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.

More about Databricks Architect jobs

What cities are hiring for Databricks Architect jobs?

Cities with the most Databricks Architect job openings:

What are the most commonly searched types of Databricks Architect jobs?

The most popular types of Databricks Architect jobs are:

What states have the most Databricks Architect jobs?

States with the most job openings for Databricks Architect jobs include:

Infographic showing various Databricks Architect job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution.

Databricks Architect (Lead Data Platform Architect)

iLink Digital

Manhattan, NY • On-site

$180 - $240/hr

Other

Re-posted 29 days ago


Job description

Databricks Architect (Lead Data Platform Architect)

New York, United States | Posted on 06/25/2026

We are looking for a highly skilled Databricks Architect to design, build, and scale enterprise-grade Lakehouse data platforms. This role will drive architecture strategy, platform standardization, and enterprise data modernization initiatives, leveraging Databricks and cloud ecosystems.

The ideal candidate brings deep expertise in Spark, Delta Lake, and cloud-native architecture, along with strong leadership in driving large-scale data transformations.

Key Responsibilities
  • Define and implement end-to-end Databricks Lakehouse architecture.
  • Design scalable systems for:
    • Batch & real-time data processing
    • Structured & unstructured workloads
  • Establish medallion architecture (Bronze, Silver, Gold layers) as a standard.
  • Lead deployment and optimization of:
    • Azure Databricks / AWS Databricks / GCP Databricks
  • Define standards for:
    • Workspace design & cluster strategy
    • Job orchestration
    • Data storage (Delta Lake)
  • Drive adoption of:
    • Unity Catalog
    • MLflow
    • Databricks SQL & Photon
  • Batch (ADF, Airflow)
  • Data modeling (star schema, data vault, dimensional models)
  • Guide engineering teams on best practices in Spark/PySpark optimization.
Performance & Cost Optimization
  • Query performance
  • Implement cost governance strategies (auto-scaling, job clusters, spot instances).
Data Governance & Security
  • Fine-grained access control (RBAC/ABAC)
  • Ensure compliance with data privacy and regulatory standards.
  • Integrate Databricks with:
    • Data sources (ERP, CRM, APIs, IoT)
    • BI tools (Power BI, Tableau)
    • ML pipelines and AI platforms
  • Collaborate with cloud architects for:
    • Networking, security, and storage strategies.
  • Provide architectural guidance to data engineers, scientists, and TPMs.
  • Conduct design reviews and enforce architecture governance.
  • Mentor teams on emerging patterns:
    • Data Mesh
    • DataOps / MLOps
    • GenAI workloads on Databricks
Skills & Qualifications
Mandatory Skills
  • 12+ years of experience in data engineering, architecture, or platform design.
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