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Databricks Architect Jobs in Michigan (NOW HIRING)

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Designs, builds and maintains scalable ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake * Develops and optimizes data workflows for batch and streaming data processing * Architects ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Designs, builds and maintains scalable ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake * Develops and optimizes data workflows for batch and streaming data processing * Architects ...

Data Engineer

Warren, MI ยท On-site

$107K - $129K/yr

... Databricks and between enterprise applications, including solutions that leverage DataStage and related integration technologies. You will partner closely with product owners, architects, data ...

Data Engineer

Warren, MI ยท On-site

$107K - $129K/yr

... Databricks and between enterprise applications, including solutions that leverage DataStage and related integration technologies. You will partner closely with product owners, architects, data ...

Lead Data Engineer

Detroit, MI ยท On-site

$101K - $133K/yr

Deloitte is seeking a Lead Data Engineer- Databricks to support the design, build, and delivery of ... Professionals in this area work across strategy, architecture, implementation, and deployment to ...

Architect and manage cloud-based solutions using AWS services such as EC2, S3, Lambda, RDS, API Gateway, and related services * Integrate applications with Databricks and AWS-based data platforms to ...

Architect and manage cloud-based solutions using AWS services such as EC2, S3, Lambda, RDS, API Gateway, and related services * Integrate applications with Databricks and AWS-based data platforms to ...

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 ...

Data Engineer

Livonia, MI ยท On-site

$107K - $128K/yr

Advanced hands-on expertise with Databricks and the Azure data stack (Data Factory, Data Lake, Synapse, Analysis Services). * Strong working knowledge of the medallion architecture (bronze / silver ...

$93K - $122K/yr

... architecture, application development, Python, APIs, LLM-enabled solutions, Agile delivery, and ... Databricks Genie Spaces. -Experience with model-serving endpoints or managed AI services ...

Showing results 21-40

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 Michigan? The most popular types of Databricks Architect jobs in Michigan are:
What job categories do people searching Databricks Architect jobs in Michigan look for? The top searched job categories for 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 August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

AIA MLEU Data Management Technical Lead

Avani Technology Solutions, Inc.

Ann Arbor, MI โ€ข On-site

Contractor

Re-posted 6 days ago


Job description

Automotive Domain Experience - Good Communication skills - Understanding of Data Architecture concepts in Big Data ecosystem (MUST). - Understanding of Enterprise Architecture concepts in AWS ecosystem(MUST). - Hands-on experience in AWS-(S3 Databricks RedShift)(MUST) Scala(MUST) Spark(MUST) Databricks Talend - Hands-on experience in Shell scripting Java python Hive - Analyze complex business and technical problems related to the implementation of new technology and/or customization.
Hours : 8:00am to 5:00pm
Education :
Additional Job Details : Must Have Skills SparkSQL Apache Spark