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Databricks Jobsexternal in Missouri (NOW HIRING)

Jobgether

Our partner is looking for a Databricks Solution Architect-Databricks Champion based in Netherlands. This is a remote opportunity to shape enterprise-scale data, cloud, and AI transformation ...

Perficient

Databricks Alliance Partner

Saint Louis, MO · On-site

$109K/yr

Perficient is seeking a dynamic and strategic Databricks Alliance Partner to lead and expand our strategic relationship with Databricks. This individual will serve as the primary liaison between ...

Perficient

Databricks Solutions Architect

Saint Louis, MO · On-site

$59 - $77.75/hr

Perficient currently has a career opportunity for a Databricks Solutions Architect to join our team located in the United States. This role is primarily office-based at a local Perficient location ...

Deloitte

Sr Databricks Data Engineer

Kansas City, MO · 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 ...

Coveo

$83K - $113K/yr

Own Snowflake and Databricks platform operations, governance and lifecycle, including workspace and account design * Define cost management and collaborate with FinOps on forecasting and optimization ...

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Databricks information

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$22K

$35.4K

$47.8K

How much do databricks jobs pay per year?

As of Sep 10, 2026, the average yearly pay for databricks in Missouri is $35,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $38,900.00 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 Missouri?

The most popular types of Databricks jobs in Missouri are:

What are popular job titles related to Databricks jobs in Missouri?

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

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

The top searched job categories for Databricks jobs in Missouri are:

What cities in Missouri are hiring for Databricks jobs?

Cities in Missouri with the most Databricks job openings:

Databricks jobs near you
Infographic showing various Databricks job openings in Missouri as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $35,376 per year, or $17 per hour.

Databricks Solution Architect-Databricks Champion

Remote

Jobgether
See more jobs at Jobgetherexternal

Full-time

Posted 9 days ago

Key responsibilities

  • Design and implement enterprise-grade data and lakehouse architectures using Databricks across complex transformation initiatives

  • Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL

  • Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Databricks Solution Architect-Databricks Champion based in Netherlands.

This is a remote opportunity to shape enterprise-scale data, cloud, and AI transformation initiatives for leading organizations.
You will design and implement modern lakehouse architectures while solving complex data engineering and analytics challenges.
The role combines deep hands-on expertise with strategic architecture and direct client engagement.
You'll work across Databricks, Azure, and GCP to build scalable, governed, and production-ready data platforms.
The position offers exposure to sophisticated enterprise environments and high-impact transformation programs.
You'll collaborate with technical and business stakeholders to translate requirements into practical, future-ready solutions.
This is an ideal role for a Databricks specialist who enjoys architecture, delivery, and helping clients unlock the value of modern data platforms.

Accountabilities
  • Design and implement enterprise-grade data and lakehouse architectures using Databricks across complex transformation initiatives.
  • Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
  • Provide hands-on technical leadership throughout architecture, implementation, deployment, and optimization phases.
  • Establish effective data governance and security practices using capabilities such as Unity Catalog.
  • Partner directly with enterprise clients to understand business and technical requirements and translate them into robust architectural solutions.
  • Advise stakeholders on cloud, data, analytics, and AI transformation strategies while ensuring solutions are scalable, reliable, and maintainable.
  • Support infrastructure automation and deployment practices through Terraform and CI/CD pipelines.
  • Apply strong knowledge of Databricks best practices and delivery methodologies to accelerate successful client outcomes.
  • Contribute to solution design, technical documentation, implementation planning, and architectural decision-making across projects.
Requirements
  • 3-8 years of relevant professional experience in data engineering, cloud architecture, analytics consulting, or a closely related technology discipline.
  • Strong hands-on expertise with Databricks, Azure, and GCP, with demonstrated ability to design and implement enterprise data platforms.
  • Databricks Champion status or equivalent demonstrated Databricks expertise is mandatory.
  • Experience with enterprise data architecture, lakehouse architecture, and large-scale implementation projects.
  • Strong knowledge of Apache Spark, PySpark, SQL, Unity Catalog, data governance, and modern data platform practices.
  • Strong client-facing and communication skills, with the ability to explain complex technical concepts to both technical and business stakeholders.
  • Exposure to Terraform, infrastructure-as-code, CI/CD, and automated deployment practices.
  • Experience with the Databricks Professional Services Delivery Provider Program (DPP) is preferred.
  • Strong analytical and problem-solving capabilities, with the ability to work independently and manage complex technical challenges.
  • A collaborative, consultative mindset and the ability to operate effectively in fast-paced enterprise environments.
  • Candidates with a notice period of 30 days or less are preferred, with immediate availability considered an advantage.
Benefits
  • Fully remote position: Work remotely while contributing to enterprise data, cloud, and AI transformation projects.
  • High-impact consulting environment: Gain exposure to complex technology initiatives and enterprise-scale client challenges.
  • Modern technology stack: Work extensively with Databricks, Azure, GCP, Spark/PySpark, SQL, Unity Catalog, Terraform, and CI/CD technologies.
  • Architecture ownership: Take a leading role in designing scalable lakehouse and data platform solutions.
  • Client-facing exposure: Partner directly with enterprise stakeholders and influence strategic technology decisions.
  • Professional growth: Expand your expertise across modern data, cloud, analytics, and AI transformation.
  • Fast-growing environment: Join a consulting organization operating across a rapidly evolving technology landscape.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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