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Databricks Architect Jobs in Kansas (NOW HIRING)

Advantage Tech

Data Architect

Topeka, KS · Hybrid

$131K - $177K/yr

The Data Architect is responsible for establishing and evolving the organization's data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses ...

Advantage Tech

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

The Data Architect is responsible for establishing and evolving the organization's data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses ...

Ascend Learning

Data Architect

Leawood, KS · On-site

$108K - $154K/yr

... Databricks, Azure Synapse/Fabric, Amazon Redshift). * Strong expertise in data architecture ... modeling (ERDs, dimensional modeling), and data integration across systems. * Proficiency with data ...

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Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

... with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI • DevOps for data, GitHub ...

Apex Systems

Sr. DevOps Engineer

Overland Park, KS · On-site

$50 - $68.25/hr

... Architecture, Security, and Platform Engineering teams to build scalable, secure, and automated deployment pipelines supporting Azure services and Databricks workloads. The ideal candidate's skill ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... and Databricks; supporting large-scale distributed workloads across hybrid streaming and batch ecosystems. Knowing lakehouse architecture patterns, distributed query engines, and scalable pipeline ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... and Databricks; supporting large-scale distributed workloads across hybrid streaming and batch ecosystems. Knowing lakehouse architecture patterns, distributed query engines, and scalable pipeline ...

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Manager, Data Engineering

Kansas City, KS · On-site

Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI * Experience ...

NinjaOne

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load ... Get familiar with NinjaOne's distributed product architecture and the data it generates, and ...

Axos Bank

Sr. Database Administrator

Overland Park, KS · On-site +1

$120K - $145K/yr

About This Job We are seeking a SQL DBA with hands-on Databricks experience to support and optimize ... Experience with Delta Lake or data lake architecture * DB2, MongoDB, PostgreSQL, and MySQL

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Databricks Architect information

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.

What are the key skills and qualifications needed to thrive as a Databricks Architect?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the most commonly searched types of Databricks Architect jobs in Kansas?

The most popular types of Databricks Architect jobs in Kansas are:

What are popular job titles related to Databricks Architect jobs in Kansas?

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

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

The top searched job categories for Databricks Architect jobs in Kansas are:

What cities in Kansas are hiring for Databricks Architect jobs?

Cities in Kansas with the most Databricks Architect job openings:

Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Kansas as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, 1% Temporary, and 4% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution.

Data Architect

Advantage Tech

Topeka, KS • Hybrid

$131K - $177K/yr

Full-time

Re-posted 29 days ago

Job description

Title: Data Architect 

Location: 4 days in office in Topeka, 1 day remote 

Type: Perm 


Role:

The Data Architect is responsible for establishing and evolving the organization’s data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses on creating strong data foundations, enabling analytics and reporting, and guiding teams toward scalable, cost-effective data practices. The Data Architect works closely with business and technical stakeholders to translate priority use cases into practical data solutions while avoiding over-engineering. 


Responsibilities:

  • Define, maintain, and evolve the core data architecture, including conceptual, logical, and physical data models, data flows, integration patterns, and platform standards.
  • Design simple, scalable data flows: 
  • Source systems ingestion, Databricks, consumption 
  • Establish foundational data models (bronze / silver / gold or equivalent) 
  • Define standards for data ingestion, transformation, naming conventions, modeling conventions, access and security, and architectural patterns. 
  • Translate business and analytics needs into practical data designs and patterns.
  • Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM, metadata, data warehousing, data lakes, BI, and related domains.
  • Support early analytics, BI, and data science use cases. 
  • Guide engineers and analysts on best practices in Databricks. 
  • Maintain data architecture roadmaps and priorities.
  • Balance short-term delivery with long-term scalability, articulating tradeoffs, costs, and benefits of different options.
  • Identify technical debt early and propose incremental improvements.
  • Act as a hands-on advisor to resolve complex data issues, not just a governance role.
  • Evaluate emerging technologies and industry trends to guide future investments and modernization efforts.


Expectations:

  • Perform responsibilities independently with minimal oversight. 
  • Demonstrate clients core competencies that define how we work, collaborate, and lead. These competencies guide day to day behaviors and decision making, ensuring we instill trust, communicate effectively, value differences and deliver strong results.
  • Consistently takes action in alignment with client values. 
  • Provides regulatory reporting support, as needed, and partners with other departments to implement effective policies and procedures that support the requirements of applicable statutes and regulation.


Knowledge and Skills:

Experience:   

- Minimum of 8-10 years of experience in data architecture including data modeling, data integration, business intelligence (BI), data marts, data lakes and data warehousing, data architecture and data model design. 

Education:    

- Bachelor’s degree in computer science or related technology degree.

- Professional certificate or a graduate degree highly regarded.

Interpersonal Skills:    

- Courtesy, tact, and diplomacy are essential elements of the job. Work involves a high degree of personal contact with others inside and/or outside the organization for purposes of exchanging information, building relationships, or soliciting cooperation.


Other Preferred Skills:

  • Experience with Databricks, Azure Data Factory, and Power BI.
  • Strong understanding of modern cloud data architecture, medallion architecture (bronze, silver, gold), and ELT patterns.
  • Must be able to work and travel independently, manage multiple and competing demands.