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Databricks Architect Jobs in Illinois (NOW HIRING)

Neshent Technologies

Applied AI Architect

Glencoe, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Chicago, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

IL

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Lyons, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Oak Brook, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Winfield, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Skokie, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Berkeley, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Maywood, IL

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Wilmette, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

Neshent Technologies

Applied AI Architect

Hines, IL · On-site

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture ... The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and ...

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All JobsDatabricks Architect JobsDatabricks Architect Jobs in Illinois

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 Illinois?

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

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

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

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

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

What cities in Illinois are hiring for Databricks Architect jobs?

Cities in Illinois with the most Databricks Architect job openings:

Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Illinois as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

Applied AI Architect

Neshent Technologies

Glencoe, IL • On-site

Full-time

Posted 18 days ago

Job description

We are looking for an Applied AI Architect with strong hands-on experience in AI/ML architecture, development, and production deployment. The ideal candidate will have expertise in Databricks, Azure AI Foundry, LLM applications, RAG, and multi-agent systems.

Must-Have Technical Skills
  • Strong hands-on experience in AI/ML development and production deployment.
  • Experience with Databricks, MLflow, Unity Catalog, Delta Lake, and model serving.
  • Experience with Azure AI Foundry and modern AI/ML platforms.
  • Strong knowledge of RAG and LLM application architecture.
  • Experience building multi-agent systems and workflows.
  • Experience with MCP/tool calling and frameworks such as LangGraph, Semantic Kernel, or OpenAI Agents SDK.
  • Strong Python development skills for production AI/ML applications.
  • Experience with CI/CD, MLOps, and AIOps.
  • Knowledge of LLM/RAG/agent evaluation, observability, tracing, and monitoring.
  • Experience with production debugging and performance optimization.
  • Ability to create reusable AI accelerators, templates, skills, and reference implementations.
Roles & Responsibilities
  • Define and implement AI/ML architecture and solutions.
  • Work closely with engineering and business teams to build and deploy AI models.
  • Design and develop LLM, RAG, and multi-agent solutions.
  • Establish best practices for AI evaluation, deployment, monitoring, and production support.
  • Improve and standardize applied AI delivery patterns.
  • Accelerate AI adoption through reusable components, templates, and reference architectures.
  • Provide technical leadership and guidance to AI/ML engineering teams.

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