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Databricks Platform Architect Jobs (NOW HIRING)

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 ...

Required Technical Skills & Qualifications Core Big Data Platform: Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark. Legacy ...

Role Summary We are looking for a highly skilled Databricks Platform Architect to lead the design and implementation of scalable, enterprise-grade data platforms using Databricks. The ideal candidate ...

Core Big Data Platform: Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark . * Legacy Database Expertise: Strong background in ...

Databricks Platform Architect

Chandler, AZ · On-site

$66 - $86.75/hr

Core Big Data Platform: Deep expert-level knowledge of Databricks (Lakehouse architecture, Delta Lake, Unity Catalog) and Apache Spark / PySpark . * Legacy Database Expertise: Strong background in ...

Databricks on AWS Platform Architect

Dallas, TX · On-site

$64.25 - $84.50/hr

Job Details Databricks on AWS Platform Architect Dallas,TX Job Category: Application development Position Type: Full Time Remaining Positions: 1 Application development Role- Databricks on AWS ...

$47.75 - $62.75/hr

Job Details Databricks on AWS Platform Architect Dallas,TX Job Category: Application development Position Type: Full Time Remaining Positions: 1 Application development Role- Databricks on AWS ...

Databricks on AWS Platform Architect

Dallas, TX · On-site

$62.75 - $82.50/hr

Role- Databricks on AWS Platform Architect Location- Dallas TX Databricks on AWS Platform Architect - Platform Architecture (10 Bullet Summary) * Architect and manage a secure, scalable, and highly ...

Databricks on AWS Platform Architect

Dallas, TX · On-site

$62.75 - $82.50/hr

Role- Databricks on AWS Platform Architect Location- Dallas TX Databricks on AWS Platform Architect - Platform Architecture (10 Bullet Summary) * Architect and manage a secure, scalable, and highly ...

Databricks on AWS Platform Architect

Dallas, TX · On-site

$64.25 - $84.50/hr

Role- Databricks on AWS Platform Architect Location- Dallas TX Databricks on AWS Platform Architect Platform Architecture (10 Bullet Summary)Architect and manage a secure, scalable, and highly ...

Databricks on AWS Platform Architect

Dallas, TX · On-site

$62.75 - $82.50/hr

Role- Databricks on AWS Platform Architect Location- Dallas TX Databricks on AWS Platform Architect - Platform Architecture (10 Bullet Summary) * Architect and manage a secure, scalable, and highly ...

The Azure Databricks Platform Architect/Admin will be responsible for designing, implementing, and managing our Azure Databricks platform. The ideal candidate will have a strong background in Azure ...

The Azure Databricks Platform Architect/Admin will be responsible for designing, implementing, and managing our Azure Databricks platform. The ideal candidate will have a strong background in Azure ...

Deep, demonstrable expertise across the Databricks platform: Unity Catalog, Delta Lake, Spark, medallion architecture, and pipeline orchestration. * Direct experience enabling Databricks Genie (AI/BI ...

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Databricks Platform Architect information

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$49

$76

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How much do databricks platform architect jobs pay per hour?

As of Sep 9, 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 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 are the key skills and qualifications needed to thrive as a Databricks Platform Architect?

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 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.

What cities are hiring for Databricks Platform Architect jobs?

Cities with the most Databricks Platform Architect job openings:

What states have the most Databricks Platform Architect jobs?

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

What are popular job titles related to Databricks Platform Architect jobs?

For Databricks Platform Architect jobs, the most frequently searched job titles are:

Infographic showing various Databricks Platform Architect job openings in the United States as of September 2026, with employment types broken down into 52% Full Time, 45% Part Time, and 3% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $158,464 per year, or $76.2 per hour.

Databricks Platform Architect

Jersey City, NJ • On-site

$67.50 - $88.75/hr

Full-time

Posted 22 days ago


Job description

Job Title: 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 Databricks Architect to lead the design and implementation of next-generation data platforms built on the Lakehouse paradigm.

This role goes beyond pipeline development—you will own the Databricks platform architecture end-to-end, driving scalability, governance, performance, and cost optimization across enterprise data ecosystems.

Databricks Platform Architecture

  • Architect and implement enterprise-scale Databricks environments (dev/test/prod)
  • Define workspace strategy, cluster policies, and job orchestration frameworks
  • Design secure, scalable Lakehouse architecture using Delta Lake

Data Engineering & Processing

  • Build and optimize high-performance data pipelines using Apache Spark (PySpark / Scala)
  • Implement Medallion Architecture (Bronze, Silver, Gold)
  • Develop batch and real-time streaming pipelines using Structured Streaming

Governance, Security & Compliance

  • Implement fine-grained access control using Unity Catalog
  • Define enterprise-wide data governance, lineage, and auditing frameworks
  • Ensure compliance with security and regulatory standards

Performance & Cost Optimization

  • Optimize workloads using partitioning, caching, and Photon engine
  • Design cost-efficient cluster strategies (autoscaling, spot instances, DBU optimization)
  • Monitor and improve query and pipeline performance at scale

DevOps & Automation

  • Implement CI/CD pipelines for Databricks using Azure DevOps, Jenkins, or GitHub Actions
  • Enable Infrastructure as Code using Terraform or equivalent
  • Standardize reusable frameworks and engineering best practices

Cloud Integration

  • Architect Databricks solutions on AWS / Azure / GCP
  • Integrate with cloud-native services (AWS S3/Glue, Azure ADLS/ADF, etc.)

Must-Have Skills

  • Advanced proficiency in SQL and Python
  • Hands-on experience with Delta Lake, Medallion Architecture, and Unity Catalog
  • Strong experience with at least one cloud platform (AWS / Azure / GCP)
  • Experience with CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)
  • Knowledge of workflow orchestration tools (Airflow or equivalent)

Good to Have

  • Databricks certifications (Associate / Professional)
  • Experience with Databricks SQL & dashboards
  • Exposure to ML pipelines (MLflow)
  • Experience with Kafka or event-driven architectures
  • Domain experience in Finance / Retail / Healthcare

What Makes You a Great Fit

  • Strong architectural mindset with ability to design scalable data platforms
  • Deep understanding of performance tuning and cost optimization
  • Ability to balance technical depth with business impact
  • Excellent communication and stakeholder management skills