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61 Databricks Operations Jobs Hiring Near You

Dahl Consulting

Databricks Architect/Admin

Hartford, CT · On-site

$50 - $62/hr

You'll partner with an existing Databricks team (including a lead) and provide deep expertise to strengthen platform reliability, scalability, and operational efficiency across a multi-platform data ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148K - $204K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Strong analytical skills-comfortable working with SQL, product usage data, and operational ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA

$144K - $190K/yr

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power ... Strong analytical skills-comfortable working with SQL, product usage data, and operational ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
What are the most popular jobs at Databricks?
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Infographic showing various Operations job openings at Databricks in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
Solutions Architect - Public Sector (SLED)

Solutions Architect - Public Sector (SLED)

Databricks

Columbus, OH • On-site

$60.75 - $80.25/hr

Full-time

Posted 23 days ago

Job description

Job Summary:
Databricks is the data and AI company that provides the Databricks Unified Analytics Platform. The Solutions Architect will partner with the sales team to help customers understand how Databricks can solve their business problems, provide technical leadership, and build relationships with customers while guiding them through implementation.
Responsibilities:
• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt 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 references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region
Qualifications:
Required:
• 6+ 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
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• US Citizen
Preferred:
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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