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Dat Jobs in Michigan (NOW HIRING)

Principal Engineer CoCounsel is our most advanced AI offering to date - combining generative and agentic AI capabilities to help legal professionals move beyond prompting and start delegating. As a ...

ARRT MR - ARRT MRI Required Equivalent Experience - ARRT MRI - required within two years of hire or transfer dat BLS - Basic Life Support Required Equivalent Experience - Within 1 month of hire or ...

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Molding Technician - 3rd Shift

Sturgis, MI · On-site

$18.50 - $24/hr

A minimum score in the 50th percentile on the DAT Mechanical Reasoning Test * A minimum score of 50 on the Wonderlic Select (Traditional score of 16 on the Cognitive portion) * Meet the physical ...

Molding Technician - 2nd Shift

Vicksburg, MI · On-site

$18.50 - $24.25/hr

A minimum score in the 50th percentile on the DAT Mechanical Reasoning Test * A minimum score of 50 on the Wonderlic Select (Traditional score of 16 on the Cognitive portion) * Meet the physical ...

Molding Technician - 3rd Shift

Sturgis, MI

$18.50 - $24/hr

A minimum score in the 50th percentile on the DAT Mechanical Reasoning Test * A minimum score of 50 on the Wonderlic Select (Traditional score of 16 on the Cognitive portion) * Meet the physical ...

Showing results 21-40

Dat information

See Michigan salary details

$22.2K

$58.1K

$102K

How much do dat jobs pay per year?

As of Jul 24, 2026, the average yearly pay for dat in Michigan is $58,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $65,400.00 per year, depending on experience, location, and employer.

What is the difference between Dat vs Data Analyst?

AspectDatData Analyst
Required CredentialsTypically no formal degree, but technical skills preferredBachelor's degree in data science, statistics, or related field
Work EnvironmentTechnical teams, data-focused projects, often in IT or software companiesBusiness environments, reporting, data interpretation, cross-department collaboration
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, and other industries requiring data insights
Common Search & ComparisonOften searched alongside data roles, technical skills, or data toolsCompared for analytical skills, reporting, and business insights

The main difference between a Dat and a Data Analyst is that a Dat typically focuses on technical data management and infrastructure, often with less emphasis on analysis, whereas a Data Analyst concentrates on interpreting data to provide actionable insights. Both roles require familiarity with data tools, but their work environments and primary responsibilities differ.

What jobs make $1,000,000 a year?

High-earning jobs that can reach or exceed $1,000,000 annually include top executives such as CEOs and CFOs, successful entrepreneurs, hedge fund managers, and certain specialized surgeons or medical specialists. These roles often require extensive experience, advanced education, strong leadership skills, and sometimes ownership stakes or performance-based bonuses.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior corporate executives (CEOs, CFOs), specialized surgeons, investment bankers, and successful entrepreneurs. These positions often require extensive experience, advanced skills, and in some cases, ownership of a business or significant financial assets.

Is DAT a good company to work for?

DAT is a transportation technology company that provides freight matching and logistics software. Employees generally report a professional work environment with opportunities for growth, though experiences can vary by role and location. It is important to research specific positions and company culture before applying.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with technical tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are essential soft skills to interpret data and share insights with stakeholders. These skills and qualities are crucial for transforming data into actionable business intelligence and supporting informed decision-making.

What does the DAT company do?

The DAT company provides freight and transportation data, including load boards, market rates, and logistics information to help carriers and shippers optimize their operations. Employees working there may analyze data, develop software, or support logistics services in a fast-paced environment.

What are data analysts?

Data analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They use statistical techniques and tools to interpret complex datasets, identify trends, and generate actionable insights. Data analysts often create reports, dashboards, and visualizations to present their findings to stakeholders, helping businesses optimize processes and strategies.

What are some common challenges faced by Data Analysts when working with cross-functional teams?

Data Analysts often collaborate with departments like marketing, product, and engineering, each of which may have distinct priorities and varying levels of data literacy. A common challenge is translating technical findings into actionable insights that non-technical stakeholders can understand and implement. Additionally, aligning on data definitions and ensuring data consistency across teams can require proactive communication and strong organizational skills. Building effective relationships and setting clear expectations early on can help mitigate these challenges and lead to more impactful outcomes.
What are popular job titles related to Dat jobs in Michigan? For Dat jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Dat jobs in Michigan look for? The top searched job categories for Dat jobs in Michigan are:
Infographic showing various Dat job openings in Michigan as of July 2026, with employment types broken down into 66% Full Time, 31% Part Time, 1% Temporary, and 2% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $58,115 per year, or $27.9 per hour.
Enterprise Palantir Solutions Architect - iDEA by Lear

Enterprise Palantir Solutions Architect - iDEA by Lear

Lear Corporation

Southfield, MI

Other

Posted 14 hours ago


Lear Corporation rating

7.0

Company rating: 7.0 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

106th of 144 rated electronics manufacturers


Job description

Lear For You

We work hard for the people who work for us. We champion our teams. We foster collaboration, inclusion, respect and excellence. What we are trying to say is we want to be more for you.

We are your path to a better career, a better future, and a better you.

Our teams have invented groundbreaking technologies, flawlessly manufactured millions of products and earned a long list of awards. Year after year, we are one of the World's Most Admired Companies. 

Our teams are the secret to our success. They are empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we all understand that we must work together to win. 

Are you ready for a better career? A better future?

We're Lear For You. 

Enterprise Palantir Solution Architect - IDEA by Lear

Southfield, MI - World Headquarters

About Lear and IDEA by Lear

Lear is a global Tier 1 automotive supplier of Seating and ESystems, accelerating a multiyear digital and automation transformation through IDEA by Lear (Innovation, Digital, Engineering & Automation). Central to this initiative is our enterprise investment in Palantir Foundry and the Palantir Artificial Intelligence Platform (AIP), enabling unified data, intelligent operations, and AIpowered automation across our global footprint.

We are seeking a highcaliber Enterprise Palantir Solution Architect to help architect the next generation of digital, analytical, and AI-driven solutions on our Palantir platforms.

Position Overview

The Enterprise Palantir Solution Architect provides endtoend architectural leadership across solution design, development, and production readiness for all Palantir Foundry and AIP initiatives. This role combines enterprise IT architecture expertise with deep platform knowledge, ensuring every solution is secure, scalable, reliable, costoptimized, and grounded in wellarchitected data and AI patterns.

This leader plays a crucial role from early concept and design reviews through delivery and operations, assessing security, identity and access, compute efficiency, data quality, and longterm maintainability.

Key Responsibilities

Palantir Platform Architecture

  • Serve as Lear's enterprise authority for Palantir Foundry and AIP, including Ontology, Object Types, Transformations, Feature Sets, AIP Agents, Solution Designer, and developer tooling.
  • Stay current on Palantir platform releases, including AI FDE, AI Pilot, AIP enhancements, compute changes, and emerging Foundry capabilities.
  • Design scalable, wellpatterned data and AI solutions that leverage the strengths of Foundry and AIP.

Solution Design & Architecture Governance

  • Lead the end-to-end architecture of solutions - from data ingestion and harmonization to AI/analytics workflows, application experiences, and data delivery endpoints.
  • Provide architectural guidance on internal and external integrations, including APIs, event-driven pipelines, data exchanges, partner integrations, and secure data products.
  • Facilitate architecture reviews, solution documentation, and alignment with Lear's enterprise architecture principles.

Security, Identity, and Access Controls

  • Architect secure-by-design solutions using Foundry's granular permissioning, object-level controls, and lineage-based access patterns.
  • Ensure compliance with enterprise security standards, regulatory needs, and global data protection policies.

Performance, Compute, and Cost Optimization

  • Optimize Foundry compute workloads (PySpark, Code Repositories, Pipelines, applications) for performance, elasticity, and cost efficiency.
  • Architect scalable infrastructure patterns for AIP agents, LLM-backed workflows, and compute-heavy workloads.

Data Quality, Reliability & Intelligent Monitoring

  • Ensure solutions include data quality monitoring, validation rules, schema controls, and reliability SLAs.
  • Design automated or "intelligent" data health monitoring patterns, alerting, lineage tracking, and remediation workflows.
  • Collaborate closely with ontology and data engineering teams to ensure semantic consistency and trustworthy data foundations.

Production Readiness & Operationalization

  • Conduct detailed production readiness assessments covering architecture, security, performance, data quality, observability, DR/BCP, and support models.
  • Develop reusable components, patterns, accelerators, and templates that increase solution velocity and consistency for all teams.

Platform Evangelism & Technical Leadership

  • Coach teams on Palantir architecture patterns, platform capabilities, performance optimization, and secure workflows.
  • Collaborate cross-functionally with engineering, data science, manufacturing, quality, finance, and commercial stakeholders.
  • Contribute to platform roadmap discussions and strategic planning as Lear expands its enterprise data and AI ecosystem.

Qualifications

  • Bachelor's in Computer Science, Information Systems, Data Engineering, or related technical field.
  • 5+ years of experience in IT architecture, data platforms, or enterprise solution design.
  • 3-5+ years of handson Palantir Foundry architecture experience, including Ontology, pipelines, transformations, application development, and data modeling.
  • Strong working knowledge of Palantir AIP, including agent frameworks, LLM workflows, grounding strategies, and secure prompt design.
  • Experience designing endtoend data architectures (ingestion harmonization semantic modeling delivery).
  • Deep understanding of identity, access management, security patterns, logging, and compliance considerations.
  • Expertise in documenting and communicating architecture designs and reviewing solutions for alignment and quality.

Preferred Qualifications

  • Experience with manufacturing, industrial systems, or supply chain operations (ISA95, plant hierarchies, OEE, BOM, routings, genealogy).
  • Knowledge of MLOps, LLM/RAG patterns, or operational AI systems.
  • Architectural certifications (TOGAF, cloud architecture certifications, etc.).
  • Experience designing intelligent monitoring, observability, and reliability engineering patterns.
  •  

What Success Looks Like

  • Solutions consistently meet Lear's security, architecture, and performance standards.
  • Foundry and AIP solutions are built with repeatable patterns, accelerating speed to value.
  • Endtoend data flows deliver clean, trusted, and actionable data across business functions.
  • AIP agents and digital solutions are grounded in wellarchitected ontologies and reliable data products.
  • Teams experience faster delivery, fewer defects, and improved operational excellence across the digital portfolio.

Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.

Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.


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