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Senior Databricks Architect Jobs in Chicago, IL (NOW HIRING)

West Monroe

Senior Architect, Databricks

Chicago, IL · On-site

$215K - $244K/yr

... Senior Architect to join our thriving Technology and Experience Practice. This is an excellent opportunity to work with clients developing Big Data strategy and roadmaps with emphasis on Databricks ...

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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Senior Databricks Architect information

See Chicago, IL salary details

$76.2K

$127.7K

$197.3K

How much do senior databricks architect jobs pay per year?

As of Aug 21, 2026, the average yearly pay for senior databricks architect in Chicago, IL is $127,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $145,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Databricks Architect vs Data Engineer?

AspectSenior Databricks ArchitectData Engineer
Primary FocusDesigning and implementing scalable data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, SQL, cloud platformsETL tools, SQL, Python, cloud services, data modeling
Work EnvironmentData architecture teams, cloud environments, enterprise settingsData engineering teams, cloud platforms, data warehouses

While both roles require cloud and data processing skills, the Senior Databricks Architect focuses on designing data solutions on Databricks, whereas Data Engineers build and maintain the data pipelines and infrastructure that support these solutions.

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 Senior Databricks Architect jobs in Chicago, IL?

For Senior Databricks Architect jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Architect jobs in Chicago, IL look for?

The top searched job categories for Senior Databricks Architect jobs in Chicago, IL are:

Senior Databricks Architect jobs near you
Infographic showing various Senior Databricks Architect job openings in Chicago, IL as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $127,671 per year, or $61.4 per hour.

Databricks Engineer Chicago - IL - Illinois

Sierra Business Solution LLC

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Senior Databricks Engineer

Job Summary:

Seeking a Senior Databricks Engineer with strong experience in Databricks, Apache Spark, Delta Lake, and cloud data engineering. The candidate will design, develop, optimize, and maintain scalable data pipelines supporting analytics and AI-driven healthcare applications.

Responsibilities:

Design and develop scalable data engineering solutions using Databricks and Apache Spark.

Build and optimize ETLELT pipelines using PySpark, Python, or Scala.

Implement Delta Lake architecture and distributed data processing solutions.

Optimize Spark jobs, Databricks clusters, pipelines, performance, and cloud costs.

Develop CICD, testing, monitoring, and deployment processes for Databricks workloads.

Troubleshoot complex data pipeline and Spark performance issues and perform root-cause analysis.

Support ML model deployment and lifecycle management within Databricks.

Collaborate with data engineers, data scientists, architects, and business stakeholders in Agile environments.

Required Skills:

Databricks

Apache Spark PySpark

Delta Lake

Python or Scala

ETLELT & Data Engineering

AzureAWSGoogle Cloud Platform

Preferred: Azure Databricks, MLflow, Spark SQL, CICD, Azure DevOps, Terraform, Machine Learning, Data Governance, Healthcare Analytics.

Education: Bachelors degree in Computer Science, Engineering, IT, or related field preferred.

Apply