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Databricks Software Jobs in Texas (NOW HIRING)

J.P. Morgan

Software Engineer III-Databricks

Plano, TX

$55 - $74/hr

As a Software Engineer III - Databricks at JPMorgan Chase within the Corporate Sector's Enterprise Technology team, you serve as a seasoned member of an agile team to design and deliver trusted ...

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Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site +1

The ideal candidate will have demonstrated experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment. Requirements The Azure Databricks ...

Ruri Software Technologies LLC

Databricks Architect

Dallas, TX · On-site

$59.75 - $78.50/hr

Databricks Architect Location : Dallas, TX Duration : 8+ months * 12-15+ years relevant experience in building data strategy on various data management tools. * Extensive experience in Databrick (8 ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site

The ideal candidate will have demonstrated experience in software engineering, architecture, and large-scale delivery in a fast-paced, agile environment. Requirements The Azure Databricks ...

Infosys

Databricks Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

The role involves contributing to software application design, coding, and maintaining system ... Required : • Experience with Databricks migration/modernization • Experience with Databricks ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks Jobs?

Databricks Jobs are automated tasks or workflows that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Texas? For Databricks Software jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Texas look for? The top searched job categories for Databricks Software jobs in Texas are:
What cities in Texas are hiring for Databricks Software jobs? Cities in Texas with the most Databricks Software job openings:
Databricks Software jobs near you
Infographic showing various Databricks Software job openings in Texas as of July 2026, with employment types broken down into 2% Locum Tenens, 14% As Needed, 69% Full Time, 3% Part Time, 2% Contract, and 10% Nights. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
Principal Architect DataBricks

Principal Architect DataBricks

NAVA Software Solutions

Houston, TX • On-site

Full-time

Posted 13 days ago

Job description

NAVA Software solutions is looking for a Principal Architect - DataBricks
Details:
Principal Architect, Databricks
Location: Houston TX - 4 days in office
Duration: Full Time / Direct Hire
The Principal Architect, Databricks will act as our top technical expert and lead practitioner for the Databricks Platform. This role combines architectural leadership with practical implementation. You will be responsible not only for defining the architectural vision but also for developing core, reusable patterns and reference architectures that will accelerate our teams. The ideal candidate is a master of the Databricks ecosystem who leads by example, demonstrates what's possible through hands-on development, and empowers teams to build robust, scalable data solutions.
As a Principal Architect, Databricks you will:
  • Develop and Implement Reference Architectures: Design, build, and maintain a library of production-quality reference architectures and reusable patterns that showcase best practices and accelerate development for engineering teams.
  • Architect and Prototype Solutions: Architect and build proofs-of-concept for end-to-end solutions on the Databricks Lakehouse Platform, actively demonstrating feasibility and validating complex designs through hands-on implementation.
  • Advise Through Doing: Serve as the primary consultant for engineering teams on all aspects of Databricks, providing expert guidance that extends beyond diagrams to include code, best practices, and hands-on support.
  • Lead Platform Training: Create training sessions and train engineers, leading the adoption and implementation of new features such as Unity Catalog, Delta Live Tables, and advanced MLOps capabilities.
  • Establish and Govern Best Practices: Define, document, and evangelize standards for Databricks development, including data modeling, performance tuning, security, and cost management.
  • Mentor and Coach: Mentor engineers and other technical staff through code reviews, paired programming, and design sessions, elevating the overall technical proficiency of the organization within the Databricks ecosystem.

What We Need From You
  • Bachelor's Degree Computer Science or related field. Req
  • 10+ years' Experience in software engineering, including significant experience in architecting systems. Required
  • Proven experience acting as a hands-on technical architect and advisor on large-scale data projects. Required
  • Databricks Mastery: Deep, expert-level knowledge of the Databricks Platform, including: Unity Catalog: Designing and implementing data governance and security. Delta Lake & Delta Live Tables: Architecting and building reliable, scalable data pipelines. Performance & Cost Optimization: Expertise in tuning Spark jobs, optimizing cluster usage, and managing platform costs. MLOps: Strong, practical understanding of the machine learning lifecycle on Databricks using tools like MLflow. Databricks SQL: Knowledge of designing and optimizing analytical workloads. Mosaic AI: Knowledge of designing and optimizing AI Agents.
  • Cloud & Infrastructure: Deep knowledge of cloud architecture and services on AWS. Strong command of Infrastructure as Code (Terraform, YAML).
  • Software Engineering & Programming: Strong background in software engineering and building large fault-tolerant systems.
  • CI/CD & Automation: Experience with designing and implementing CI/CD pipelines (preferably with GitHub Actions) for data and ML workloads.
  • Observability: Familiarity with implementing monitoring, logging, and alerting for data platforms.
  • Automation: The platform is ephemeral, and all changes are implemented using Terraform and Python. Expertise in Terraform and Python is a must.
  • Excellent communication and interpersonal skills, with the ability to influence and guide technical teams and stakeholders effectively.
  • A strategic mindset with a passion for solving complex data challenges and driving business outcomes through technology.
  • The ability to think critically, challenge assumptions, and make clear, well-reasoned architectural decisions.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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