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Databricks Jobs in Edison, NJ (NOW HIRING)

Databricks

Solutions Architect

New York, NY · On-site

$69 - $90.75/hr

FEQ327R298 At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that ...

TheStaffed

Senior Software Engineer - Databricks

New York, NY · On-site

$134K - $176K/yr

Develop and optimize data pipelines, leveraging Databricks scheduler and the internal Alpha Data Platform * Analyze requirements and work cross-functionally with non-technical stakeholders to define ...

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$24.3K

$39K

$52.8K

How much do databricks jobs pay per year?

As of Aug 7, 2026, the average yearly pay for databricks in Edison, NJ is $39,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,700.00 and $43,000.00 per year, depending on experience, location, and employer.

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.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

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.

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 often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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.

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 most commonly searched types of Databricks jobs in Edison, NJ? The most popular types of Databricks jobs in Edison, NJ are:
What are popular job titles related to Databricks jobs in Edison, NJ? For Databricks jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Edison, NJ look for? The top searched job categories for Databricks jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Databricks jobs? Cities near Edison, NJ with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Edison, NJ as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $39,043 per year, or $18.8 per hour.

Solutions Architect

Databricks

New York, NY • On-site

$69 - $90.75/hr

Other

Re-posted 27 days ago

Job description

FEQ327R298

At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.

Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor.

Databricks' culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment.

If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you.

The impact you will have:

  • Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
  • Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
  • Build and present reference architectures, technical guides, and demo applications for customers
  • Provide escalated support for critical customer operational issues
  • Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
  • Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
  • Travel to customers up to 30%

What we look for:

Solution Architects are customer-facing. You'll need to be comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations.

  • 4+ years in a customer-facing pre-sales, technical architecture, or consulting role
  • Experience designing and architecting distributed data systems
  • Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
  • Have built solutions with public cloud providers, such as AWS, Azure, or GCP
  • Experience in at least one of the following:
    • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
    • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
    • Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
  • [Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
  • Nice to have: Databricks Certification

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