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Robust Intelligence Jobs in Detroit, MI (NOW HIRING)

S. military, intelligence community, and commercial space industry delivering next-generation ... Design, develop, and maintain robust and scalable software applications using modern programming ...

New

S. military, intelligence community, and commercial space industry delivering next-generation ... Design, develop, and maintain robust and scalable software applications using modern programming ...

S. military, intelligence community, and commercial space industry delivering next-generation ... Design, develop, and maintain robust and scalable software applications using modern programming ...

S. military, intelligence community, and commercial space industry delivering next-generation ... Design, develop, and maintain robust and scalable software applications using modern programming ...

This role is strictly focused on data interpretation and the establishment of robust Geometric Dimensioning and Tolerancing (GD amp;T) fundamentals during the design phase. The successful candidate ...

Showing results 21-40

Robust Intelligence information

See Detroit, MI salary details

$10.1K

$92K

$121.7K

How much do robust intelligence jobs pay per year?

As of Aug 17, 2026, the average yearly pay for robust intelligence in Detroit, MI is $92,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $121,200.00 per year, depending on experience, location, and employer.

What is the difference between Robust Intelligence vs Data Scientist?

AspectRobust IntelligenceData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fieldsBachelor's or higher in CS, Statistics, or related fields
Work EnvironmentTech companies, AI research labs, product developmentData analysis, modeling, and research in various industries
Employer & Industry UsageAI-focused companies, startups, tech giantsBusiness, finance, healthcare, tech sectors

Robust Intelligence professionals focus on developing resilient AI systems that perform reliably under diverse conditions, often working in AI research and product development. Data Scientists analyze data to extract insights, build models, and support decision-making across multiple industries. While both roles require strong technical skills and a background in data or AI, Robust Intelligence emphasizes system robustness and reliability, whereas Data Scientists focus on data analysis and modeling.

What does Robust Intelligence do?

Robust Intelligence is a company that develops AI and machine learning solutions focused on creating reliable, secure, and scalable systems. Employees in related roles often work with data analysis, model development, and testing to ensure AI performance under various conditions.

What are popular job titles related to Robust Intelligence jobs in Detroit, MI?

For Robust Intelligence jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Robust Intelligence jobs in Detroit, MI look for?

The top searched job categories for Robust Intelligence jobs in Detroit, MI are:

Infographic showing various Robust Intelligence job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $92,024 per year, or $44.2 per hour.

Data Architect/Data Engineer (BI) - Auburn Hills, MI

Digital Technology Solutions

Auburn Hills, MI • On-site

Other

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


Job description

DTS is looking for Data Architect/Data Engineer (BI) for our direct client Position in Auburn Hills, MI

Job Description:

Overview

We are seeking an Enterprise Data Architect/Data Engineer to design, develop, and implement enterprise data solutions supporting Business Intelligence (BI) and Data Management initiatives. This individual will be responsible for architecting scalable data solutions leveraging Enterprise Data Warehousing (EDW) and Master Data Management (MDM) technologies while partnering with business and IT teams to deliver robust reporting and analytics capabilities.

The ideal candidate has extensive experience with enterprise data architecture, dimensional modeling, data integration, and BI platforms, along with strong communication skills and the ability to lead technical design efforts.

Responsibilities

  • Design and architect enterprise Business Intelligence and data management solutions.
  • Develop scalable data architectures supporting analytics, reporting, and business decision-making.
  • Design and implement Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) solutions.
  • Create logical and physical data models using dimensional modeling techniques (Star, Snowflake, etc.).
  • Architect database solutions utilizing both OLAP and OLTP technologies.
  • Lead data architecture, data migration, and system integration efforts throughout the Software Development Life Cycle (SDLC).
  • Participate in design sessions, proof of concepts, demonstrations, testing, and user training.
  • Develop and maintain technical documentation and architecture standards.
  • Serve as the Subject Matter Expert (SME) for Enterprise Data Management initiatives.
  • Build metrics, dashboards, and analytical reporting solutions.
  • Collaborate with business stakeholders to translate requirements into scalable technical solutions.

Required Qualifications

  • 7+ years of experience architecting Business Intelligence and enterprise data solutions.
  • 7+ years of experience with:
    • Application Architecture
    • Enterprise Data Warehousing
    • Master Data Management (MDM)
  • Strong experience with data modeling and enterprise database design.
  • Advanced SQL skills.
  • Strong analytical and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Ability to work independently while managing multiple priorities and deadlines.

Technical Skills

Experience with one or more of the following BI platforms:

  • SAP BusinessObjects
  • QlikView
  • SAS
  • Oracle Hyperion Essbase

Experience with:

  • Enterprise Data Warehouse (EDW)
  • Data Marts
  • Operational Data Stores (ODS)
  • IBM InfoSphere MDM or Informatica MDM
  • Data Migration & Data Integration
  • OLAP and OLTP database technologies
  • Dimensional Data Modeling (Star, Snowflake, etc.)
  • Full Software Development Life Cycle (SDLC)

Education

  • Bachelor's Degree in Computer Science, Information Systems, or a related technical field (or equivalent experience).

DTS offers excellent compensation package.


Contact:

Kuldeep Singh

Team Lead
Digital Technology Solutions