ZipRecruiter

Log In

1

Databricks Architect Jobs in Illinois (NOW HIRING)

1 point system

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for structured and ... architects, data scientists, BI teams, and business stakeholders to deliver data solutions ...

Deloitte

Azure/Databricks Infrastructure Engineer

Chicago, IL · On-site

$57.50 - $76.75/hr

Participate in architecture reviews, technical workshops, client discussions, and operational ... As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure ...

ClifyX

Data Product Governance Architect

Chicago, IL · On-site

Responsibilities : • Architect data product governance across Snowflake, Databricks, Collibra • Knowledge of how to get LangChain and LangGraph going and use Trustwise for runtime governance • ...

Cloud BC Labs

Data Architect

Naperville, IL · On-site

$63.75 - $82/hr

Data Architect Location : Naperville, IL Term : C2C/W2 Job Summary We are seeking an experienced ... Snowflake, Databricks, Redshift, Synapse, or BigQuery * Data Governance * Metadata Management

Northern Base

Applied AI Architect

Chicago, IL · On-site

$142K - $150K/yr

Databricks; Azure AI Foundry; multi-agent systems; Databricks, MLflow, Unity Catalog, Delta Lake, model serving; production Python AI/ML engineering; RAG and LLM application architecture; multi-agent ...

previous pagenext page

Showing results 21-40

All JobsDatabricks Architect JobsDatabricks Architect Jobs in Illinois

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?

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 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 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Solutions Architect - Manufacturing

Databricks

Chicago, IL • On-site, Remote

$65 - $85.50/hr

Other

Re-posted 14 days ago

Job description

Location: Chicago, IL | Minneapolis, MN 

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the Central US.

Mission

We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space

Outcomes

  • You work with multiple clients as the main technical voice for Databricks.
  • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
  • You implement the technical strategy in the account, in close understanding of the strategy.
  • You build a movement of technical champions within the account.
  • You align technical strategies around Databricks solutions.
  • You provide structured mentorship for other team members.
  • Gain the respect of your peers based on your experience, insight, and contributions.

Competencies:

  • Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
  • Experience working very large (> $1m ARR), global accounts.
  • Form relationships with executives and influencers.
  • Present a convincing point-of-view to important decision-makers that leads them down a path of success.
  • Technical in big data, data science and cloud.
  • An ability in data-driven business transformation, and driving change with data.
  • Production programming experience in Python, R, Scala or Java
  • Nice to have: Databricks Certification

Apply