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Remote Databricks Architect Jobs in Detroit, MI (NOW HIRING)

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Remote Databricks Architect information

See Detroit, MI salary details

$9

$69

$94

How much do remote databricks architect jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote databricks architect in Detroit, MI is $69.36, according to ZipRecruiter salary data. Most workers in this role earn between $61.63 and $80.91 per hour, depending on experience, location, and employer.

What is the difference between Remote Databricks Architect vs Remote Data Engineer?

AspectRemote Databricks ArchitectRemote Data Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding and maintaining data pipelines and infrastructure
Required SkillsDatabricks, Spark, cloud platforms, architecture designETL, SQL, Python, cloud data tools
CertificationsDatabricks certifications, cloud certificationsCloud certifications, SQL, Python skills
Work EnvironmentCollaborates with data teams, architects, and stakeholdersWorks on data pipeline development, data modeling

While both roles work within data environments and often in cloud settings, the Remote Databricks Architect focuses on designing scalable data solutions using Databricks, whereas the Remote Data Engineer primarily builds and maintains data pipelines and infrastructure. The architect role emphasizes architecture and strategy, while the data engineer role emphasizes implementation and operational tasks.

What are popular job titles related to Remote Databricks Architect jobs in Detroit, MI?

For Remote Databricks Architect jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Architect jobs in Detroit, MI look for?

The top searched job categories for Remote Databricks Architect jobs in Detroit, MI are:

Remote Databricks Architect jobs near you
Infographic showing various Remote Databricks Architect job openings in Detroit, MI as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $144,262 per year, or $69.4 per hour.

Software Engineer II - Business Intelligence

Torc Robotics

Ann Arbor, MI • On-site, Remote

$95K - $130K/yr

Full-time

Posted 12 days ago

Job description

Meet the Team: 

Torc's BI team partners across the business to bring visibility and reporting that help leadership and teams make faster, better-informed decisions. This is an exciting opportunity to help define how data engineering and BI work together at Torc, with real influence over the architecture and tooling. 

What You'll Do: 

  • Design, build, and maintain ETL/ELT pipelines that power our data architecture. 
  • Structure and optimize tables and views to support fast, reliable reporting and dashboard performance. 
  • Build data quality checks, validation, and documentation so stakeholders can trust the numbers behind leadership and board-level reporting. 
  • Partner with BI analysts and business stakeholders to understand how data will be consumed downstream, translating reporting needs into data models and pipelines.
  • Support and help evolve leadership-critical deliverables, including the enterprise SPI dashboard and consolidated TES/WBR metrics reporting. 
  • Help migrate existing AWS/Athena-based data delivery to our Databricks platform. 
  • Define, instrument, and maintain business KPIs from scratch using SQL and Python. 
  • Contribute to hands-on dashboard development as interest and BI tooling needs align.

What You'll Need to Succeed: 

  • Bachelor's degree in Computer Science, Data Engineering, or a related field, with 4+ years of professional experience in data engineering or software engineering (equivalent experience considered).
  • Hands-on data engineering experience - building and maintaining ETL pipelines, data quality checks, and structuring tables vs. views for reporting performance. 
  • Proficiency in Python, PySpark, or similar for pipeline / ETL development, and experience with pandas, numpy, or other data analysis tooling. 
  • Strong SQL or similar skills. 
  • Understanding of how data is consumed downstream and willingness to work with consumers on improvements.  
  • Experience with BI tools such as Tableau, Power BI, or QuickSight. 
  • Comfort working with ambiguous, evolving requirements and partnering directly with stakeholders across the business. 

Bonus Points: 

  • Experience with the Databricks platform, particularly for serving data, visualizations, and jobs.
  • AWS experience, particularly Athena, Glue, or other managed data services. 
  • Knowledge of relational, NoSQL, vector, and data warehouse architectures. 
  • Hands-on dashboard-building experience, or strong interest in developing it. 
  • Experience scaling data for ML/AI workloads (e.g., Ray). 
  • Background in automotive, AV, robotics, or other safety-critical data environments. 

Work Location: 

Ann Arbor, MI is the hiring hub for this role; remote candidates are considered. 

Apply