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Catalog Model Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Data Arch Design & Data Modeling: Architect & implement scalable, secure & efficient data solutions ... Data Catalog & Metadata Mgt: Design, create & maintain an enterprise-wide data catalog, automating ...

fng

Technical Writer

Allen Park, MI

Collaborate with engineering to translate 3D CAD models, exploded views, and wiring schematics into ... Cataloging & Marketing Content Support * Support the content roadmap for new product launches and ...

fng

Technical Writer

Allen Park, MI

Collaborate with engineering to translate 3D CAD models, exploded views, and wiring schematics into ... Cataloging & Marketing Content Support * Support the content roadmap for new product launches and ...

fng

Technical Writer

Allen Park, MI

Collaborate with engineering to translate 3D CAD models, exploded views, and wiring schematics into ... Cataloging & Marketing Content Support * Support the content roadmap for new product launches and ...

Flex-N-Gate

Technical Writer

Allen Park, MI · On-site

Collaborate with engineering to translate 3D CAD models, exploded views, and wiring schematics into ... Cataloging & Marketing Content Support * Support the content roadmap for new product launches and ...

Watkins Wellness

Enterprise Data Architect

Livonia, MI · On-site

$104 - $163/hr

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 ...

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All JobsCatalog Model JobsCatalog Model Jobs in Michigan

Catalog Model information

See Michigan salary details

$9

$27

$58

How much do catalog model jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for catalog model in Michigan is $27.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $34.13 per hour, depending on experience, location, and employer.

What is a catalog model?

A Catalog Model is a professional who models clothing, accessories, or products for catalogs, e-commerce sites, and printed advertisements. Their job is to showcase items in a way that highlights the product's features, fit, and style. Catalog models often have a versatile look that appeals to a broad audience and must be comfortable posing naturally. They work with photographers, stylists, and brands to create visually appealing images for marketing purposes.

What does a catalog model do?

As a Catalog Model, your workday often involves attending scheduled photo shoots in studio or on location, working closely with photographers, stylists, and art directors to showcase products accurately. You may participate in fittings beforehand, receive direction on poses, and change into multiple outfits to represent various items in a catalog. Attention to grooming and timely communication with the creative team are important, as shoots usually work on tight schedules. While days can vary depending on the client or project, adaptability and readiness for quick changes are key to success in this fast-paced and collaborative environment.

What skills and qualifications are needed to thrive as a catalog model?

To thrive as a Catalog Model, you need a photogenic appearance, excellent posture, and the ability to follow direction, with prior modeling experience often preferred. Familiarity with standard studio environments, posing techniques, and sometimes digital portfolios or comp cards is valuable. Professionalism, reliability, and strong interpersonal communication skills help you stand out in this role. These attributes are crucial to ensure smooth photo shoots, produce high-quality catalog images, and maintain positive working relationships with photographers and creative teams.

How do you get into catalog modeling?

To become a catalog model, individuals typically build a professional portfolio showcasing their appearance and versatility, often work with modeling agencies, and attend open casting calls or auditions. Having a good understanding of posing, facial expressions, and maintaining a healthy appearance can improve chances of success in the industry.

How much does a catalog model make?

A catalog model's earnings typically range from $25,000 to $75,000 annually, depending on experience, location, and the scope of the campaign. Rates can vary based on whether the work is part-time or full-time, and models may earn additional income through agency commissions or usage rights.

What are popular job titles related to Catalog Model jobs in Michigan?

For Catalog Model jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Catalog Model jobs in Michigan look for?

The top searched job categories for Catalog Model jobs in Michigan are:

Catalog Model jobs near you
Infographic showing various Catalog Model job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $56,868 per year, or $27.3 per hour.

Data / BI Architect

Tech Tammina LLC

Pontiac, MI • On-site

Contractor

Re-posted 14 days ago

Job description

Role: Data / BI Architect

Location: Pontiac, MI

Duration: 12Months +

About role:

Data Business Intelligence (BI) Architect role is a hybrid of data architecture, engineering & business strategy, bridging the gap between tech data solutions & business objectives. Designs, develops & maintains the overall data strategy ensuring the County data in scope is accessible, reliable & secure for analysis and decision-making. The right candidate has experience in architecting data solutions that can be used for descriptive, diagnostic, predictive & prescriptive analytic solutions.

KEY RESPONSIBILITIES:

•       Stakeholder Collaboration: Work closely with business & IT stakeholders to gather req & translate business needs into tech specifications, including identification of data sources.

•       Data Arch Design & Data Modeling: Architect & implement scalable, secure & efficient data solutions, including data warehouses, data lakes, and/or data marts.

•       Design conceptual, logical & physical data models.

•       Tool and Platform Selection: Evaluate, recommend & implement tools aligned with recommended architecture, including visualization tools aligned with business needs.

•       ETL/ELT Pipeline Mgt: Design, develop & test data pipelines, integrations to source mgt & ETL / ELT processes to move data from various sources into the data warehouse.

•       Data Catalog & Metadata Mgt: Design, create & maintain an enterprise-wide data catalog, automating metadata ingestion, establishing data dictionaries, and ensuring that all data assets are properly documented & tagged.

•       Data Governance and Discovery: Enforce data governance policies through the data catalog, ensuring data quality, security & compliance.

•       Enable self-service data discovery for users by curating & organizing data assets in an intuitive way.

•       Performance Optimization: Monitor & optimize BI systems & data pipelines to ensure high performance, reliability & cost-effectiveness.

•       Technical Leadership: Provide technical guidance & mentorship across the organization, establishing best practices for data mgt & BI development.

Environment:

•       Role incl. defining data platform tech stack. Example tech below; not required to have experience in all.

•       Data Platforms: DW & lake concepts incl. dimensional modeling & cloud services (S3, AWS Redshift, RDS, Azure Data Lake Storage, Synapse Analytics, BigQuery, Databricks, Snowflake, Informatica);

•       Databases: SQL & relational/non-relational (SQL Server, Oracle, PostgreSQL, MongoDB);

•       BI Tools: Power BI, Business Objects, Tableau, Crystal, Looker;

•       ETL/ELT: Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt);

•       Big Data Tech: Hadoop, Spark, Kafka;

•       Programming/API: Python, Keras, Scikit-learn, R, XML;

•       ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium, Apache Spark;

•       Modeling Tools: MS Visio, ER/Studio, PowerDesigner;

•       Source systems incl. on-prem, cloud, & SaaS;