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Databricks Jobs in Philadelphia, PA (NOW HIRING)

Databricks Admin Architect

King Of Prussia, PA ยท On-site

$63.25 - $83/hr

Databricks Admin Architect Location: King of Prussia, PA( In-Person interview) We are looking for a Databricks Admin Architect to manage, architect, and optimize enterprise Databricks environments.

Databricks Admin Architect

King Of Prussia, PA ยท On-site

$63.25 - $83/hr

We are looking for a Databricks Admin Architect to manage, architect, and optimize enterprise Databricks environments. Responsibilities: * Design and manage Databricks workspaces, clusters, compute ...

Databricks Architect

Philadelphia, PA ยท On-site

$65.25 - $85.75/hr

Senior Databricks Architect Location : Philadelphia PA hybrid position Required Skills: Databricks Python , PySpark & Spark SQL Delta Lake & Lakehouse Architecture Python & Advanced SQL Azure/AWS ...

Databricks Lead

Chester, PA ยท On-site

$57 - $74.50/hr

Title -Databricks Lead Location - Chester, Newtown Square PA Duration - Contract/FTE The Role offers An outstanding opportunity to imagine, redesign, and apply technology to add value to the business ...

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Databricks information

See Philadelphia, PA salary details

$22.5K

$36K

$48.7K

How much do databricks jobs pay per year?

As of Aug 27, 2026, the average yearly pay for databricks in Philadelphia, PA is $36,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $39,700.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Philadelphia, PA?

The most popular types of Databricks jobs in Philadelphia, PA are:

What are popular job titles related to Databricks jobs in Philadelphia, PA?

For Databricks jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Philadelphia, PA look for?

The top searched job categories for Databricks jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Databricks jobs?

Cities near Philadelphia, PA with the most Databricks job openings:

Infographic showing various Databricks job openings in Philadelphia, PA as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $36,044 per year, or $17.3 per hour.

Databricks Admin Architect

Syntrux & Co

King Of Prussia, PA โ€ข On-site

$63.25 - $83/hr

Other

Posted 14 days ago


Job description

Databricks Admin Architect

Location: King of Prussia, PA(In-Person interview)

We are looking for a Databricks Admin Architect to manage, architect, and optimize enterprise Databricks environments.

Responsibilities:

  • Design and manage Databricks workspaces, clusters, compute, and platform configurations.
  • Manage Unity Catalog, access controls, permissions, security, and governance.
  • Monitor platform performance, availability, and usage.
  • Implement Databricks administration, security, and operational best practices.
  • Support workspace provisioning, upgrades, migrations, and troubleshooting.
  • Manage integrations with Azure, AWS, or Google Cloud Platform cloud services.
  • Support automation, CI/CD, monitoring, and infrastructure management.
  • Collaborate with data engineering, security, cloud, and architecture teams.

Required Skills:
Databricks Administration, Unity Catalog, Apache Spark, Delta Lake, Azure/AWS/Google Cloud Platform, IAM, Security, Cluster Management, Workspace Management, Monitoring, CI/CD, Terraform, and Cloud Infrastructure.

Experience: 15+ years in cloud/data platforms with strong Databricks administration and architecture experience.