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Databricks Jobs in Michigan (NOW HIRING)

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Job Overview We are looking for a highly senior, deeply hands on Databricks Architect to lead a large‑scale Oracle‑to‑Databricks migration, covering schema migration, code conversion, and ODI ...

Deloitte

Databricks Manager

Detroit, MI · On-site

Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate ...

Deloitte

Databricks Manager

Detroit, MI · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Deloitte

Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

TMS

Program Manager - Data, AI, Databricks

Detroit, MI · On-site

Program Manager - Data, AI, Databricks Duration: FTE Location: Detroit (Preferred) / Open across locations- Remote About the Role * We are seeking a highly experienced Techno-Functional Program ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

Required Skill and Experience Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

Required Skill and Experience Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault ...

General Motors

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

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 ...

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Databricks information

See Michigan salary details

$20.5K

$32.9K

$44.5K

How much do databricks jobs pay per year?

As of Jul 4, 2026, the average yearly pay for databricks in Michigan is $32,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,200.00 and $36,200.00 per year, depending on experience, location, and employer.

What is a Databricks job?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the key skills and qualifications needed to thrive in the Databricks position, and why are they important?

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Michigan? The most popular types of Databricks jobs in Michigan are:
What are popular job titles related to Databricks jobs in Michigan? For Databricks jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Michigan look for? The top searched job categories for Databricks jobs in Michigan are:
What cities in Michigan are hiring for Databricks jobs? Cities in Michigan with the most Databricks job openings:
Databricks jobs near you
Infographic showing various Databricks job openings in Michigan as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $32,871 per year, or $15.8 per hour.
Senior Databricks Architect

Senior Databricks Architect

Programmers.io

Detroit, MI • On-site

$64 - $84.25/hr

Contractor

Posted 2 days ago

Job description

Job Overview

We are looking for a highly senior, deeply hands on Databricks Architect to lead a large‑scale Oracle‑to‑Databricks migration, covering schema migration, code conversion, and ODI job modernization. The ideal candidate has extensive experience building enterprise-grade data platforms on Databricks, has executed at least one greenfield Databricks implementation, and is exceptionally strong in PySpark, Spark SQL, framework development, and Databricks Workflows.

Key Responsibilities

  • Architect, design, and implement cloud-native data platforms using Databricks (ingestion → transformation → consumption).
  • Lead the full Oracle → Databricks migration including schema translation, ETL/ELT logic modernization, and ODI job replacement.
  • Develop reusable PySpark frameworks, data processing patterns, and orchestration using Databricks Workflows.
  • Build scalable, secure, and cost‑optimized Databricks infrastructure and data pipelines.
  • Collaborate with business and technical stakeholders to drive data modernization strategy.
  • Establish development best practices, coding standards, CI/CD, and DevOps/DataOps patterns.
  • Provide technical mentorship and create training plans for engineering teams.
  • Contribute to building MLOps and advanced operations frameworks.

Required Qualifications

  • 14+ years in Data Engineering/Architecture with at least 4+ years hands-on Databricks experience delivering end‑to‑end cloud data solutions.
  • Strong experience migrating from Oracle/on‑prem systems to Databricks, including SQL, PL/SQL, ETL logic, and ODI pipelines.
  • Deep hands-on expertise in:
    • PySpark, Spark SQL, Delta Lake, Unity Catalog
    • Building reusable data frameworks
    • Designing high‑performance batch and streaming pipelines
  • Proven experience with greenfield Databricks implementations.
  • Strong understanding of cloud-native architectures on AWS and modern data platform concepts.
  • Solid knowledge of data warehousing, columnar databases, and performance optimization.
  • Good understanding of Agile/Scrum development processes.
  • Bonus: Experience designing Data Products, Data Mesh architectures, Data Vault or enterprise data governance models.
  • Good Understanding of Golde Gate.