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Databricks Jobs in Texas (NOW HIRING)

Databricks Data Engineer

Houston, TX ยท Hybrid

$109K - $131K/yr

Databricks Data Engineer Work Location & Reporting Address: Houston, TX 77006 - Hybrid Contract duration: 6 months Job Details: Must Have Skills: โ€ข Databricks โ€ข Cloud and Data Platform ...

Databricks Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Databricks Architect - Remote

Houston, TX ยท Remote

$61.75 - $81.25/hr

Hi, Databricks Architect with: a. Pyspark a. Unity Catelog C. Data Extraction Very good with communication. Very senior person must be a subject matter expert Job Title: Sr. Databricks Architect ...

Databricks Architect - Remote

Houston, TX ยท Remote

$61.75 - $81.25/hr

Hi, Databricks Architect with: a. Pyspark a. Unity Catelog C. Data Extraction Very good with communication. Very senior person must be a subject matter expert Job Title: Sr. Databricks Architect ...

Azure Databricks Architecture & Design: Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks. Architect and implement end-to-end analytics ...

Azure/Databricks Infrastructure Engineer

Austin, TX ยท On-site

$55.25 - $73.75/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

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Databricks information

See Texas salary details

$21.9K

$35.1K

$47.5K

How much do databricks jobs pay per year?

As of Jun 9, 2026, the average yearly pay for databricks in Texas is $35,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $38,700.00 per year, depending on experience, location, and employer.

What is a Databricks job?

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.

Does Databricks pay more than Google?

As a data platform company, Databricks generally offers competitive salaries that can be comparable to or slightly lower than Google's, depending on the role, location, and experience level. Google is known for high compensation packages, especially for engineering and technical roles, often including bonuses and stock options, while Databricks also provides attractive pay and benefits for data engineers, data scientists, and software engineers. Salary differences depend on specific job functions, seniority, and geographic location.

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 Texas? The most popular types of Databricks jobs in Texas are:
What job categories do people searching Databricks jobs in Texas look for? The top searched job categories for Databricks jobs in Texas are:
What cities in Texas are hiring for Databricks jobs? Cities in Texas with the most Databricks job openings:
Resident Solutions Architect - Financial Services

Resident Solutions Architect - Financial Services

Databricks

Austin, TX โ€ข On-site

$62.50 - $82.25/hr

Full-time

Posted 28 days ago


Job description

Job Summary:
Databricks is the data and AI company, and they are seeking a Senior Big Data Solutions Architect to work with clients on their big data challenges using the Databricks platform. The role involves providing data engineering, data science, and cloud technology projects to help customers maximize the value of their data.
Responsibilities:
โ€ข You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
โ€ข Work with engagement managers to scope variety of professional services work with input from the customer
โ€ข Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
โ€ข Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
โ€ข Provide an escalated level of support for customer operational issues.
โ€ข You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
โ€ข Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
Qualifications:
Required:
โ€ข 9+ years experience in data engineering, data platforms & analytics
โ€ข Comfortable writing code in either Python or Scala
โ€ข Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
โ€ข Deep experience with distributed computing with Apache Sparkโ„ข and knowledge of Apache Sparkโ„ข runtime internals
โ€ข Familiarity with CI/CD for production deployments
โ€ข Working knowledge of MLOps
โ€ข Capable of design and deployment of highly performant end-to-end data architectures
โ€ข Experience with technical project delivery - managing scope and timelines.
โ€ข Documentation and white-boarding skills.
โ€ข Experience working with clients and managing conflicts.
โ€ข Experience in building scalable streaming and batch solutions using cloud-native components
โ€ข Travel to customers up to 20% of the time
Preferred:
โ€ข Nice to have: Databricks Certification
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.