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Databricks Architect Jobs in Michigan (NOW HIRING)

Hands-on expertise in Databricks Hands-on experience Integrating software components into a fully ... Work with solution architect and recommend cost-effective solutions by analyzing AWS pricing models ...

The Lead Data Architect exists to define, own, and evolve Hylant's enterprise application and ... Azure Databricks, Microsoft Data Factory, Delta Lake, Unity Catalog, and Azure cloud services.

The Lead Data Architect exists to define, own, and evolve Hylant's enterprise application and ... Azure Databricks, Microsoft Data Factory, Delta Lake, Unity Catalog, and Azure cloud services.

Solution Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

The AI & Data Analytics Team is looking for an application architect/tech lead to join our team ... Experience with Databricks notebook workflows * Experience with Terraform

Data 360 Senior Technical Architect

Detroit, MI · On-site

$66.50 - $89/hr

The Data 360 Senior Technical Architect serves as a technical advisor to enterprise customers ... Snowflake, Databricks, Redshift, BigQuery, SQL Server, etc. • Relevant Salesforce experience in ...

Experience working with big data in a cloud environment , particularly Azure and Databricks ... Support Product Managers, Scrum Leaders, and Architects with requirement documentation. * Set up ...

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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.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
What are the most commonly searched types of Databricks Architect jobs in Michigan? The most popular types of Databricks Architect jobs in Michigan are:
What cities in Michigan are hiring for Databricks Architect jobs? Cities in Michigan with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Michigan as of June 2026, with employment types broken down into 86% Full Time, 3% Part Time, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Warehouse Architect - This is a very urgent requirement with immediate placement.

Inteliblue

Lansing, MI • On-site

Other

Posted 27 days ago


Job description

 Data Warehouse Architect - This is a very urgent requirement with immediate placement, please apply for immediate consideration.

No Corp to Corp candidates - only W2 or 1099 candidates. Local Candidate only

Job Title: Data Warehouse Architect
Location: Lansing, Michigan
Interview: In-person
Duration: Long Term

Required Skills::
Extensive Years Creating Data Warehouse BI applications including ETL/data mart development, reporting, dashboards and other information analysis and delivery system.
We want to ensure the ideal candidate can work in a cross functional capacity between ETL and BI tasks. Those with experience in Snowflake and Databricks should be successful in this role. 
SQL Assistant/Teradata Studio Experience, BI applications.
Health Care Services exp is a Must.
Job Description::
SQL Assistant/Teradata Studio Experience, BI applicationsEnd user training experience.

Recognize, gather, correlate, and analyze facts, draw conclusions, define problems, and devise solutions and alternatives and make appropriate recommendations.
Experience working with Data Modelers and developers, facilitating modification of the logical design to create a physical design most suited to the reporting needs of the customer.
Ability to design applications taking into consideration data reconciliation, (to the source system) query/reporting performance, and analytical business value. 


About Inteliblue

Sourced by ZipRecruiter

Welcome to InteliBlue, and thank you for taking the time to visit our site! Did you know that having a Professional website can help you increase sales and expose you to thousands of new clients. So now ask yourself this question, Can I afford NOT to have a professional website? Our methodology is quite simple, We Strive to make technology work for our clients and NOT vice versa. This methodology helps guide us develop solutions that actually and practically work for our clients and hence make a direct impact on the way clients conduct their business.

Company size

11 - 50 Employees

Headquarters location

Little Rock, AR, US

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