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Map View Jobs in Michigan (NOW HIRING)

Masco Corporation

Enterprise Data Architect

Livonia, MI · On-site

... view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data ... Approve hierarchy changes, mapping exceptions, and material structural changes. * Actively curate ...

Masco Corporation

Enterprise Data Architect

Livonia, MI · On-site

... view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data ... Approve hierarchy changes, mapping exceptions, and material structural changes. * Actively curate ...

Watkins Wellness

Enterprise Data Architect

Livonia, MI · On-site

$104 - $163/hr

... view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data ... Approve hierarchy changes, mapping exceptions, and material structural changes.* Actively curate ...

The Auto Club Group

Member Representative I

Utica, MI · On-site

Routes members with complete travel itinerary, including triptiks, brochures, tour books, maps ... Focal Point, View Point, ITT, AXIS, etc.) And/or insurance systems (e.g. PPS, POS, IMS, IPM) and/or ...

The Auto Club Group

Member Representative I

Utica, MI · On-site

Routes members with complete travel itinerary, including triptiks, brochures, tour books, maps ... Focal Point, View Point, ITT, AXIS, etc.) And/or insurance systems (e.g. PPS, POS, IMS, IPM) and/or ...

World Wide Technology

$65K - $80K/yr

... customers view us as their strategic advisors. CX is also a thriving area of growth for many ... Customer digital journey mapping As the internal team administrator for the Gainsight platform, you ...

World Wide Technology

$65K - $80K/yr

... customers view us as their strategic advisors. CX is also a thriving area of growth for many ... Customer digital journey mapping As the internal team administrator for the Gainsight platform, you ...

Pwc

Sales Operations Senior Manager [Retail]

Detroit, MI · On-site

$124K - $280K/yr

You will analyze customer touchpoints, design customer journey maps, and offer guidance to help ... To view our benefits at a glance, please visit the following link: As PwC is anequal opportunity ...

World Wide Technology

$65K - $80K/yr

... customers view us as their strategic advisors. CX is also a thriving area of growth for many ... Customer digital journey mapping As the internal team administrator for the Gainsight platform, you ...

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Showing results 41-60

All JobsMap View JobsMap View Jobs in Michigan

Map View information

See Michigan salary details

$41K

$85.9K

$122.5K

How much do map view jobs pay per year?

As of Aug 20, 2026, the average yearly pay for map view in Michigan is $85,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $98,500.00 per year, depending on experience, location, and employer.

What is a map view?

Map View jobs typically involve working with geographic information systems (GIS) or mapping software to visualize, analyze, and interpret spatial data. Professionals in these roles create, update, and maintain digital maps for a variety of applications, such as urban planning, environmental monitoring, navigation, and infrastructure management. These positions may require skills in GIS software, data analysis, cartography, and sometimes programming to customize and improve map displays. Map View jobs are found in government agencies, private companies, and research organizations that rely on accurate geographic data for decision-making.

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

To thrive in a map viewing or GIS (Geographic Information Systems) technician role, you need a solid understanding of geography, spatial analysis, and cartographic principles, often backed by a degree or coursework in GIS or related fields. Familiarity with GIS software such as ArcGIS or QGIS, and experience handling spatial databases and mapping tools, is typically required. Attention to detail, analytical thinking, and strong problem-solving skills are essential soft skills that help ensure accuracy and effective interpretation of map data. These competencies are crucial for producing reliable maps, supporting spatial decision-making, and providing valuable insights across various industries.

What are some common challenges faced by professionals working in map view roles, and how can they be addressed?

Professionals working in Map View roles often encounter challenges such as managing large geospatial datasets, ensuring data accuracy, and integrating multiple data sources into a cohesive visual format. Collaboration with GIS analysts, developers, and project managers is common, requiring strong communication skills. Staying updated with the latest mapping technologies and software is essential to maintain efficiency and accuracy. Regular training and leveraging automated tools can help address these challenges and improve workflow.

What job categories do people searching Map View jobs in Michigan look for?

The top searched job categories for Map View jobs in Michigan are:

What cities in Michigan are hiring for Map View jobs?

Cities in Michigan with the most Map View job openings:

Map View jobs near you
Infographic showing various Map View job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,914 per year, or $41.3 per hour.

Enterprise Data Architect

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 11 days ago

Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Enterprise Data Architect
Role Summary
The Enterprise Data Architect is the design authority for Masco's enterprise POS and adjacent commercial data assets. This role owns the enterprise data model, the governed master data foundations, and the attribution logic that connects Business Unit, HQ, and retailer data into one trusted, reusable enterprise view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data Engineering team executes against, and codifies those standards into documented, governed rules. This role is central to building a scalable, AI-ready enterprise data foundation.
What You'll Own
Enterprise Data Model & Master Data Foundations
  • Own the enterprise data architecture blueprint and standardized data model, expandable across POS use cases.

  • Own the governed master data foundations - Product, Retailer, Geographic, and Calendar.

  • Establish and evolve the semantic and dimensional modeling framework used by BI and Engineering.

  • Evaluate and lead implementation of master data management tools and processes to support the governed master data foundations.

Attribution & Harmonization
  • Define and maintain the BU to HQ to retailer attribution crosswalk as the enterprise standard.

  • Codify attribution logic into governed rules with clear ownership and change-approval processes.

  • Approve hierarchy changes, mapping exceptions, and material structural changes.

  • Actively curate product hierarchies and attribution mappings as ongoing operational activities, with the Business Data Analyst supporting attribution stewardship, use case validation, and downstream impact analysis.

Data Quality, Standards & Technical Governance
  • Set harmonization, modeling, and data-quality standards, including validation guidelines.

  • Enforce policies for data engineering, integration, security, and compliance.

  • Monitor day-to-day data quality, investigate root causes, and drive resolution with Data Engineering and business stakeholders, with the Business Data Analyst supporting quality validation and consumer follow-up.

  • Curate the enterprise data catalog, including definitions, lineage, and metadata, as an ongoing discipline.

Design Integrity for Requests, Enhancements & Delivered Work
  • Serve as the design-authority checkpoint on incoming requests and enhancements, confirming work fits the enterprise model and standards.

  • Approve architectural approaches before build begins.

  • Partner with the Data Engineering Leader on delivery reviews and on escalated issues that touch the model, masters, or attribution.

  • Provide design-integrity oversight of release management for engineering enhancements, requests, and projects, confirming released work aligns with the enterprise model and standards while the Data Engineering Leader owns the operational execution.

Technical Leadership & Investment Guidance
  • Provide technical direction on masters, attribution, ingestion patterns, and modeling standards.

  • Coach engineers on modeling discipline and enterprise design principles.

  • Contribute to strategic planning, talent, tooling, and vendor evaluations.

  • Contribute to budgeting and investment decisions for enterprise data platforms, services, and tools.

Documentation & Knowledge Management
  • Own the documented definition of the enterprise data model, masters, and attribution rules.

  • Establish documentation standards for models, attribution logic, and modeling decisions, in partnership with the Data Engineering Leader.

  • Maintain the enterprise knowledge base and catalog for definitions, lineage, and material changes.

  • Champion a "documented once, reused everywhere" culture across the team.

How You'll Partner
  • Data Engineering Leader and Data Engineers: Provide specs, standards, and design authority. Partner on delivery reviews and issue resolution.

  • BI Delivery Leader and BI Developers: Align on semantic layer and metric definitions built on the governed model.

  • Technical Product Owner and Business Data Analyst: Partner on intake to confirm work fits the enterprise model.

  • BU Analytics, HQ data stewards, and governance forums: Act as design authority in attribution and hierarchy governance.

  • HQ IT, Security, and Architecture: Align enterprise data architecture with broader technology strategy.

Required Qualifications
Education & Experience
  • Bachelor's degree or higher in a related field, or equivalent professional experience.

  • Substantial experience as an Enterprise Data Architect, Data Architect, or comparable role, including designing and governing enterprise data models across multiple business units or domains.

  • Proven track record establishing master data, attribution, and harmonization standards in a multi-source, multi-brand environment.

  • Experience leading and coaching technical data teams toward enterprise standards.

Skills & Competencies
  • Design-authority mindset. Sets direction, holds the line on standards, and coaches others on why those standards matter.

  • Strong strategic thinker who can move from ambiguity to a modeled, governed answer.

  • Excellent communicator who can translate architecture decisions for both technical and business audiences.

  • Detail-oriented and self-directed on complex, cross-functional problems.

  • Flexible. Balances enterprise standards with pragmatic delivery.

  • Collaborative across IT, Analytics, HQ, and Business Units.

  • Continuous learner who stays current on emerging data practices.

Technical Understanding
  • Strong understanding of enterprise data architecture and dimensional/semantic modeling (Kimball, Lakehouse patterns such as bronze/silver/gold).

  • Working knowledge of modern cloud data platforms (Databricks, Azure data stack) and how to lead teams delivering against them.

  • Familiarity with SQL, Python, ETL/ELT patterns, and BI semantic models sufficient to guide and evaluate engineering work.

  • Understanding of data quality, catalog, lineage, and metadata management practices.

  • Understanding of security, access, and compliance standards as they apply to enterprise data.

Preferred Qualifications
  • Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.

  • Prior experience designing master data, attribution logic, or product hierarchies across multiple retailers or channels.

  • Familiarity with modern DataOps, Agile, or Kanban practices.

  • Exposure to AI/ML-ready data architecture patterns (feature stores, governed semantic layers for AI/agentic consumption).

Company: Masco
Full time
Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Masco Corporation is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

What Masco employees say

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

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