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Databricks Jobs in North Carolina (NOW HIRING)

MSR Cosmos

GCP Databricks Architect

Davidson, NC · On-site

$59 - $76/hr

GCP Databricks Architect Location: Davidson, NC Onsite Duration: Long Term "BRIEF POSITION SUMMARY Experienced Data Platform Architect to design and manage enterprise grade data solutions This role ...

Unison Group

Databricks Data Architect

Charlotte, NC · On-site

$62.25 - $80/hr

* We're seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions. * In this role, you'll design, develop, and ...

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

Damco Solutions is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. The role involves collaborating ...

Deloitte

Sr Databricks Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

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Databricks information

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$21.4K

$34.3K

$46.3K

How much do databricks jobs pay per year?

As of Sep 2, 2026, the average yearly pay for databricks in North Carolina is $34,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,400.00 and $37,700.00 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 North Carolina?

The most popular types of Databricks jobs in North Carolina are:

What are popular job titles related to Databricks jobs in North Carolina?

For Databricks jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in North Carolina look for?

The top searched job categories for Databricks jobs in North Carolina are:

What cities in North Carolina are hiring for Databricks jobs?

Cities in North Carolina with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in North Carolina as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $34,274 per year, or $16.5 per hour.

Sr. Solutions Architect - Retail, Travel & Hospitality

Databricks

Charlotte, NC • On-site, Remote

$219K - $301K/yr

Full-time

Posted 12 days ago

Job description

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space.
The impact you will have:
  • You will work with 1-5 clients as the main technical voice for Databricks
  • You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  • You will implement the technical strategy in the account, in close understanding of the strategy
  • Build a movement of technical champions within the account
  • Align technical strategies around Databricks solutions
  • You will provide structured mentorship for other team members

What we look for:
  • 8+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
  • 4+ years working in a pre sales capacity or supporting sales activity
  • Technical in big data, data science and cloud
  • An ability in data-driven business transformation, and driving change with data
  • 4+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
  • Maintain and extend production data systems to evolve with complex customer needs
  • Production programming experience in Python, R, Scala or Java
  • Nice to have: Databricks Certification

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$219,100-$301,300 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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