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Databricks Architect Jobs in Novi, MI (NOW HIRING)

General Motors

Data Engineer

Warren, MI · 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 ...

General Motors

Data Engineer

Warren, MI · 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 ...

Deloitte

Lead Data Engineer

Detroit, MI · 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 ...

Stellantis

Full Stack Engineer

Auburn Hills, MI · On-site

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 ...

Stellantis

Full Stack Engineer

Auburn Hills, MI

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 ...

Tech Tammina LLC

Jr. IT Data Analyst

Warren, MI · On-site

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 ...

Masco Corporation

Data Engineer

Livonia, MI · 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 ...

Ilitch

Applied AI Engineer

Detroit, MI

Work with architecture and platform teams toestablishreusable patterns for modelserving ... Experience with Databricks, notebooks, model serving,MLflow, and related cloud services such as ...

Masco Corporation

Data Engineering Leader

Livonia, MI · On-site

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

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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.

Data Engineer

General Motors

Warren, MI • On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 305 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,270 frontline employees who took The Breakroom Quiz

Job description

Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Global Technical Center, Mountain View Technical Center, or Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
The Role
This role will focus on designing, developing, and supporting Databricks-based pipelines, medallion-layer data products, and enterprise integrations that enable analytics, reporting, and AI use cases. The role also includes building and supporting data movement patterns both into Databricks and between enterprise applications, including solutions that leverage DataStage and related integration technologies.
You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability, and deliver scalable solutions that support operational and executive decision-making.
What You'll Do
  • Design, build, and maintain scalable data pipelines in Databricks to ingest, transform, validate, and publish trusted data products for analytics, reporting, and AI use cases.
  • Develop and support end-to-end ETL/ELT workflows using Databricks notebooks, Python, Spark, and SQL, including orchestration, parameterization, error handling, restartability, and performance optimization.
  • Build and maintain Bronze, Silver, and Gold data products that are reusable, governed, and aligned to business and downstream consumption needs.
  • Build and support integrations both into Databricks and between enterprise applications, including legacy and modern integration patterns such as DataStage-based workflows.
  • Implement pipeline logic for ingestion, standardization, cleansing, enrichment, joins, aggregations, and publishing of curated data assets for downstream use.
  • Partner with product owners, architects, source-system teams, report and analytics teams, and data consumers to translate business needs into well-defined technical solutions and trusted data products.
  • Define and implement data transformations, semantic structures, and curated data assets that improve usability, consistency, downstream performance, and trust in the data.
  • Apply strong data quality, validation, reconciliation, and documentation practices to ensure data products are accurate, discoverable, reliable, and production-ready.
  • Use GitHub-based development practices for version control, code review, collaboration, and promotion of pipeline changes across environments.
  • Support secure and compliant data delivery by implementing access controls, permissions, and governance requirements in alignment with GM policies.
  • Monitor, troubleshoot, and improve pipeline health, runtime performance, cost efficiency, and operational stability across production data assets and integrations.
  • Help modernize legacy integrations and reporting patterns by standardizing and migrating solutions onto the enterprise data platform.
  • Contribute to team standards, reusable patterns, and best practices for notebooks, Python development, GitHub workflows, data engineering, integration design, data quality, and operational support.

Your Skills & Abilities (Required Qualifications)
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science, Engineering, or a related field; or equivalent experience.
  • 5+ years of experience as a data engineer, ETL developer, or integration engineer building production-grade data pipelines and data products.
  • Hands-on experience with Databricks for data engineering and analytics enablement, including:
    • Strong SQL skills in Databricks
    • Experience building and supporting ETL/ELT pipelines in Databricks
    • Experience developing pipelines using Python, notebooks, DataStage, and scalable data transformation patterns
    • Experience with workflow orchestration, dependency management, scheduling, monitoring, and operational support of production pipelines.
  • Proven experience designing and implementing dimensional, layered, or medallion-style data models for analytics and operational use cases.
  • Strong knowledge of data warehousing and ETL/ELT concepts, including how upstream design impacts downstream performance, usability, and trust in data products.
  • Experience integrating data from enterprise applications, especially operational platforms such as ServiceNow.
  • Familiarity with DataStage and application-to-application integration patterns.
  • Experience using GitHub for source control, branching, pull requests, collaboration, and release management of data engineering assets.
  • Demonstrated ability to implement data quality, metadata, documentation, and governance practices in production data environments.
  • Strong collaboration skills and a track record of working effectively in cross-functional teams (data engineers, architects, product owners, business partners, and report and analytics teams).
  • Strong problem-solving, communication, and ownership skills, with the ability to operate effectively in a fast-moving environment.

What Can Give You a Competitive Advantage (Preferred Qualifications)
  • Experience supporting analytics, dashboards, or executive reporting use cases.
  • Experience working with ServiceNow data, including ITSM, CMDB, HRSD, or related operational domains.
  • Experience with secure data delivery, access controls, and enterprise governance standards.
  • Experience with production support, observability, and operational reporting for data platforms.
  • Familiarity with data dictionaries, lineage, and data product documentation or publishing practices.
  • Familiarity with cloud data platform patterns, particularly Databricks Lakehouse environments.
  • Experience working in Agile or product-centric environments with iterative delivery and continuous feedback.

This job may be eligible for relocation benefits.
Compensation:
  • The expected base compensation for this role is: $138,700 - $206,950. Actual base compensation within the identified range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
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About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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