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Databricks Software Jobs in Detroit, MI (NOW HIRING)

Deloitte

Databricks Manager

Detroit, MI · On-site +1

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

... software quality standards • Develop user training programs, documentation, and support ... Required Skill and Experience Hands-on experience with Databricks ecosystem (Delta Lake, Unity ...

Deloitte

Databricks Data Engineer

Detroit, MI

$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 ...

SynergisticIT

Remote Software Engineer

Ann Arbor, MI

$50.75 - $69.50/hr

Snowflake, Databricks, text mining, Tableau, PowerBI, Databricks, Tensorflow. For Java/full stack/software positions required skills include a bachelors degree or masters degree in computer science ...

Reliable Software Resources

Sr. AI Data Engineer

Detroit, MI · On-site +1

$104K - $125K/yr

Hi, This is Srikanth from Reliable Software. We have an opportunity with one of our direct clients ... Evaluate and support migration to Databricks or modern analytics platforms. * Improve system ...

Digitas

Manager, Data Engineering

Birmingham, MI

$88K - $121K/yr

This role blends software engineering and ML expertise to translate prototypes into scalable ... Design, build, and maintain scalable ML pipelines using cloud services (e.g., Vertex AI, Databricks ...

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All JobsDatabricks Software JobsDatabricks Software Jobs in Detroit, MI

Databricks Software information

See Detroit, MI salary details

$47.5K

$110.7K

$164.3K

How much do databricks software jobs pay per year?

As of Jun 21, 2026, the average yearly pay for databricks software in Detroit, MI is $110,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,100.00 and $128,700.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Detroit, MI? For Databricks Software jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Detroit, MI look for? The top searched job categories for Databricks Software jobs in Detroit, MI are:
Databricks Software jobs near you

Azure Databricks Architect

Reliable Software Resources

Detroit, MI • Remote

$58 - $75.75/hr

Other

Posted 3 days ago

Job description

 

 

Job Title: Azure Databricks Architect

Location: Remote with (50% travel)

Role Summary

We are seeking Senior Data Platform Engineers to join our CSO team. This is a dual-domain environment spanning two fully segregated platforms built on Azure Databricks and the Medallion Architecture: the CSO Security Data Platform and the SOX Application Data Platform (fully segregated to satisfy Sarbanes-Oxley requirements). Engineers are the backbone of both platforms — ensuring data quality, enabling security consumers, onboarding new sources, maintaining pipelines, and supporting SOX audits.

Required Qualification:Experience

•       5+ years of data engineering experience with at least 2 years on Azure Databricks or equivalent cloud lakehouse platforms.

•       Hands-on experience with Medallion Architecture pipelines, Delta Lake (MERGE, OPTIMIZE, VACUUM, Z-ORDER, schema enforcement), and Databricks Structured Streaming.

•       Familiarity with SOX compliance, IT General Controls (ITGC), or regulated-environment data engineering; experience supporting audits or evidence collection.

Technical Skills

Area

Technologies

Languages

Python (PySpark), SQL; Scala a plus

Cloud

Azure (ADLS Gen2, Azure Monitor, Log Analytics, Event Hubs, APIM, Azure DevOps)

Data Platform

Databricks (Unity Catalog, Auto Loader, Structured Streaming, Workflows, Genie, AI/BI Dashboards, MLflow)

Governance

Unity Catalog (RBAC, column/row security, lineage), MS Purview (auto-classification, sensitivity labels)

Integration

Azure APIM, Delta Sharing, Databricks SQL API, SIEM/SOAR connector patterns

BI & Reporting

Databricks AI/BI Dashboards, Power BI

DevOps

Git, CI/CD via Azure DevOps or GitHub Actions

Security Domain Knowledge

•       Familiarity with OCSF (Open Cybersecurity Schema Framework) or willingness to develop deep expertise rapidly.

•       Understanding of security log source types (EDR, firewall, IAM/PAM, CASB) and SOC/SIEM/SOAR workflows; awareness of MITRE ATT&CK framework.

Preferred Qualifications

•       OCSF normalization implementation across multiple security log sources.

•       Experience with Azure API Management (APIM) for data platform API governance.

•       UEBA, threat scoring, or ML-backed security analytics (MLflow, Databricks Feature Store, Mosaic AI).

•       SOX audit participation — auditor walkthroughs, evidence packages, IT General Controls testing.

•       Certifications: Databricks Certified Data Engineer Associate/Professional, Azure Data Engineer Associate (DP-203), or equivalent.

•       Graph-based correlation (Databricks GraphX); Delta Sharing.

Core Competencies

Competency

Why It Matters

Ownership & Reliability

Numerous sources, high volume TB/day — you own what doesn''t run.

Audit Mindset

Audits mean evidence gaps have real regulatory consequences.

Security Domain Curiosity

The better you understand analyst needs, the better the platform serves them.

Stakeholder Communication

You bridge data engineering, SOC, compliance, and auditors.

Structured Problem-Solving

Quarantine spikes and pipeline failures require root-cause discipline.

Documentation Discipline

Runbooks, audit evidence, and onboarding guides are first-class deliverables.

Compliance Awareness

SOX platform changes carry regulatory risk; process adherence is non-negotiable.

Platform & Tooling Landscape

Area

Technologies

Cloud Infrastructure

Microsoft Azure, ADLS Gen2, Azure Monitor, Log Analytics, Event Hubs, APIM

Data Platform

Databricks (Unity Catalog, Structured Streaming, Auto Loader, Workflows, Genie, AI/BI Dashboards)

Storage / Format

Delta Lake, JSON + GZip (Landing Zone), ADLS Gen2 Hot & Archive tiers

Schema Standard

OCSF + custom.* namespace (Security); segregated schemas (SOX)

Governance

Unity Catalog, MS Purview (auto-classification, sensitivity labels, federated discovery)

Integration

Azure APIM, Delta Sharing, Event Hubs, Databricks SQL API

BI & Analytics

Databricks AI/BI Dashboards, Databricks Genie, Power BI

AI & ML

MLflow, Databricks Feature Store, Mosaic AI (roadmap)

DevOps & CI/CD

Azure DevOps / GitHub Actions, Git

Scale

Numerous  log sources · High daily volume in TBs/day raw

 

 

Educational Qualifications:

·         Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.

·         Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.

 

Travel:

·         Open to travel based-up on the nature of the engagement.

 

 

Thanks & Regards

Srikanth Donkani

Resource Manager

(w):

(E):

2260 Haggerty Road, Suite 285 Northville, MI 48167

 

Equal Employment Opportunity

Reliable Software employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law.

Employment decisions are based solely on qualifications, merit and business needs.

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