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Databricks Architect Jobs in Novi, MI (NOW HIRING)

Little Caesars

Applied AI Engineer

Detroit, MI · On-site

This role will partner closely with Data Engineering, Architecture, Product, and Application ... The ideal candidate can work across the stack, with experience in platforms such as Databricks and ...

Domino's Corporate

Senior Data Engineer

Ann Arbor, MI

$103K - $140K/yr

... Databricks. This role requires deep technical knowledge, strong engineering judgment, and the ... You will partner closely with Data Architects, Platform Admins, Cloud Engineers, Product Owners ...

Utilidata

Principal Data Engineer

Ann Arbor, MI

$170K - $210K/yr

You\'ll own the component-level architecture for the data platform while working in close ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

Domino's

Senior Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

... Databricks. This role requires deep technical knowledge, strong engineering judgment, and the ... You will partner closely with Data Architects, Platform Admins, Cloud Engineers, Product Owners ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

You'll own the component-level architecture for the data platform while working in close ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

You'll own the component-level architecture for the data platform while working in close ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Design and implement complex data processing pipelines using Apache Spark. • Architectural ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Architectural Leadership: Build scalable, distributed systems that handle high-throughput data ... Experience with Databricks notebook workflows * Experience with Terraform

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

... Databricks). What You Will Do 1. AI Strategy & Technical Leadership * AI Engineering Leadership ... Define architectural patterns for: * Batch vs real-time inference * Feature engineering pipelines

Pwc

Data Engineer - Manager

Detroit, MI · On-site

... Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the ...

Little Caesars

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

This role will partner closely with Data Engineering, Architecture, Product, and Application ... The ideal candidate can work across the stack, with experience in platforms such as Databricks and ...

Robert Half

SAP Security Administrator

Southfield, MI · Remote

$57 - $66/hr

... architecture. Responsibilities: * Lead day-to-day administration of SAP security across core ... Databricks and Microsoft Entra ID. * Work closely with network engineering, technical teams ...

New

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Architectural Leadership: Build scalable, distributed systems that handle high-throughput data ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). * Data Modeling:

Conclusive Marketing

Lead Data Scientist

Detroit, MI · On-site

Guide the development of production-level model pipelines using tools such as Databricks and Azure ... for modern data architecture * Promote best practices in model governance, data ethics, and ...

Judge Group, Inc.

AI Specialist

Pontiac, MI · On-site

$60 - $65/hr

Apache Spark, Databricks * Cloud: AWS (SageMaker, EC2, S3), Azure Machine Learning, Azure ... Enterprise architecture and innovation leadership By providing your phone number, you consent to ...

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Showing results 41-60

All JobsDatabricks Architect JobsDatabricks Architect Jobs in Novi, MI

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 popular job titles related to Databricks Architect jobs in Novi, MI? For Databricks Architect jobs in Novi, MI, the most frequently searched job titles are:
What cities near Novi, MI are hiring for Databricks Architect jobs? Cities near Novi, MI with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Novi, MI as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Applied AI Engineer

Little Caesars

Detroit, MI • On-site

Full-time

Posted 18 days ago

Little Caesars rating

4.5

Company rating: 4.5 out of 10

Based on 956 frontline employees who took The Breakroom Quiz

93rd of 106 rated fast food restaurants

Job description

Job Summary:
The Applied AI Engineer turns ideas into production-ready AI solutions spanning feasibility, data engineering, model development, and integration. Operating within the AI Strategy team, this role accelerates Little Caesars' AI future by rapidly prototyping and piloting high-impact use cases.
This role will partner closely with Data Engineering, Architecture, Product, and Application Development teams to ensure the team can rapidly prototype within a secure environment. The ideal candidate can work across the stack, with experience in platforms such as Databricks and the ability to move solutions from data pipelines and experimentation through APIs, user experiences, and production support.
Key Responsibilities:
  • Design, build, and deploy end-to-end AI solutions that span data ingestion, transformation, model development, evaluation, deployment, and application integration
  • Develop scalable data pipelines and feature engineering workflows using modern data platforms, including Databricks
  • Build and productionize machine learning and generative AI solutions that address prioritized business use cases
  • Create APIs, services, and application components that embed AI capabilities into internal tools, workflows, and user-facing experiences
  • Work with architecture and platform teams to establish reusable patterns for model serving, orchestration, monitoring, and secure deployment
  • Collaborate with product, business, and technical stakeholders to translate requirements into practical AI-enabled solutions with measurable impact
  • Support proof-of-concepts, pilots, and production implementations while balancing speed, scalability, maintainability, and responsible AI practices
  • Partner with data governance, security, and infrastructure teams to ensure AI solutions meet enterprise standards for privacy, reliability, and compliance
  • Stay current on emerging AI engineering practices, frameworks, and tools, and recommend technologies that improve delivery speed and solution quality
  • Mentor teammates and contribute to the evolution of engineering standards, reusable components, and AI platform capabilities

Required Knowledge, Skills and Abilities:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field, with experience building and deploying AI or machine learning solutions in production environments. Equivalent experience may be considered in lieu of formal degree.
  • 2+ years of experience developing end-to-end AI solutions, including data pipelines, model training, evaluation, deployment, and application or API integration
  • Strong programming skills in Python and SQL, with the ability to build maintainable, production-quality code and integrate open-source AI frameworks
  • Hands-on experience with data engineering concepts such as data modeling, transformation, orchestration, and feature preparation for AI workloads
  • Experience building services, APIs, or lightweight applications that operationalize AI capabilities for end users or internal teams
  • Experience with machine learning, generative AI, and applied AI patterns such as retrieval, recommendation, forecasting, optimization, or intelligent assistants
  • Experience with secure development practices, data privacy controls, and operational monitoring for AI and data solutions

Preferred Knowledge, Skills and Abilities:
  • Knowledge of cloud and hybrid data architectures and how storage, compute, and governance choices influence AI solution design
  • Understanding of modern product and engineering practices such as Agile, DevOps, CI/CD, MLOps, and responsible AI delivery
  • Experience with Databricks, notebooks, model serving, MLflow, and related cloud services such as Azure AI Foundry, Microsoft Fabric, or Azure Data Factory

Working Conditions:
  • This position may require minimal travel to vendor locations, assessment at restaurants and Ilitch Companies facilities, data centers or seminars/networking.

Competencies:
  • Demonstrated comfort in ambiguity and ability to work in a fast-paced continuous delivery environment
  • Ability to communicate technical concepts, architecture decisions, and solution tradeoffs clearly to both technical and non-technical stakeholders
  • Practiced at solving ambiguous business problems through structured thinking, iterative delivery, and cross-functional collaboration
  • Excellent written and verbal communication skills with the ability to document technical solutions and support collaborative delivery

Disclaimer:
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.
All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Little Caesars Enterprises Inc.
Little Caesar Enterprises, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.
The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.
This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work.
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