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Databricks Architect Jobs in Chicago, IL (NOW HIRING)

Quebec solutions inc

Databricks Architect

Chicago, IL · On-site

$66.75 - $87.75/hr

Role: Databricks Architect Location: Hybrid - Chicago Metro Area Duration: Long-Term Contract Mandatory Skills · Databricks · DBT · AWS · ETL · SQL Server Preferred Qualifications · Strong ...

Purple Drive Technologies LLC

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

: Architect - Data Experience 13+ Years to work at the client place in Chicago, Key Responsibilities ... The ideal candidate should possess strong hands-on expertise in AWS, Databricks, and PySpark, ETL, ...

New

Purple Drive

Data Architect

Chicago, IL

$65.75 - $84.50/hr

: Architect - Data Experience 13+ Years to work at the client place in Chicago, Key Responsibilities ... The ideal candidate should possess strong hands-on expertise in AWS, Databricks, and PySpark, ETL, ...

New

West Monroe

Senior Architect, Databricks

Chicago, IL · On-site

$215K - $244K/yr

Very strong technical expertise in Databricks, including architecture, performance optimization, Delta Lake, Unity Catalog, workflow orchestration, security, governance, and cloud-native data ...

Databricks

Manager, Field Engineering - MFG

Chicago, IL · On-site

$172K - $237K/yr

S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture ...

Northern Base

Senior Solutions Architect

Chicago, IL · On-site

$142K - $150K/yr

Databricks, Spark, Delta Lake, and data pipelines * Azure cloud architecture and integration * RAG, LLM integration, Databricks Genie, CI/CD, IaC, HIPAA/SOC 2 Roles & Responsibilities * Design end-to ...

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Databricks Architect information

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 key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

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 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 most commonly searched types of Databricks Architect jobs in Chicago, IL? The most popular types of Databricks Architect jobs in Chicago, IL are:
What are popular job titles related to Databricks Architect jobs in Chicago, IL? For Databricks Architect jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in Chicago, IL look for? The top searched job categories for Databricks Architect jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Databricks Architect jobs? Cities near Chicago, IL with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Chicago, IL as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Databricks Architect

Quebec solutions inc

Chicago, IL • On-site

$66.75 - $87.75/hr

Other

Posted 4 days ago

Job description

JOB DESCRIPTION:

Role: Databricks Architect

Location: Hybrid – Chicago Metro Area
Duration: Long-Term Contract

Mandatory Skills

·       Databricks

·       DBT

·       AWS

·       ETL

·       SQL Server

Preferred Qualifications

·       Strong experience designing and building scalable data pipelines

·       Hands-on experience with Databricks Lakehouse architecture

·       Expertise in DBT, Spark, and SQL optimization

·       Experience working in cloud-based data platforms

·       Excellent communication and problem-solving skills

Thanks & Regards,
Sapna Daniel- Lead – US IT Recruitment

✉️ 🔗 LinkedIn: sapna-daniel1a8512140

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