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ManpowerGroup Data Modeler – Enterprise Data Platform (BigQuery, Retail Domain) in Freeport, Maine

Experis is a global leader in IT professional resourcing and managed services. Experis empowers organizations across the full life cycle of technology, providing flexible solutions that adapt to their needs as technologies and skills evolve. Experis has an immediate need for a DATA MODELER to support our clothing and outdoor recreation equipment manufacturing client in REMOTE and reports to Freeport, ME 04033.

THIS IS A W2 CONTRACT

ROLE DATA MODELER

INDUSTRY Clothing and Outdoor Recreation Equipment Manufacturer

DURATION W2 CONTRACT 6 months, highly probable extension

LOCATION REMOTE reporting to Freeport, ME 04033

INTERVIEW 60-minute on-line screening test will be given to all candidates to take at their convenience. It must be taken in one sitting – they cannot stop and restart

Then will advance to MS TEAMS video interview

We have an immediate need for an IT Data Modeler – Enterprise Data Platform (BigQuery, Retail Domain) reporting to Enterprise Data Platform (EDP) Architecture Team.

The initial W2 contract is for 6 months with the possibility of an extension based on performance. The location of assignment can be remote only but working EST hours.

Data Modeler – Enterprise Data Platform (BigQuery, Retail Domain)

Job Summary: We are seeking an experienced Data Modeler to support the Enterprise Data Platform (EDP) initiative, focusing on building and optimizing curated data assets on Google BigQuery. This role requires expertise in data modeling, strong knowledge of retail data, and an ability to collaborate with data engineers, business analysts, and architects to create scalable and high-performing data structures.

Key Responsibilities:

  1. Data Modeling & Curated Layer Design
  • Design logical, conceptual, and physical data models for EDP’s curated layer in BigQuery.

  • Develop fact and dimension tables, ensuring adherence to dimensional modeling best practices (Kimball methodology).

  • Optimize data models for performance, scalability, and query efficiency in a cloud-native environment.

  • Work closely with data engineers to translate models into efficient BigQuery implementations (partitioning, clustering, materialized views).

  1. Data Standardization & Governance
  • Define and maintain data definitions, relationships, and business rules for curated assets.

  • Ensure data integrity, consistency, and governance across datasets.

  • Work with Data Governance teams to align models with enterprise data standards and metadata management policies.

  1. Collaboration with Business & Technical Teams
  • Engage with business analysts and product teams to understand data needs, ensuring models align with business requirements.

  • Partner with data engineers and architects to implement best practices for data ingestion and transformation.

  • Support BI & analytics teams by ensuring curated models are optimized for downstream consumption (e.g., Looker, Tableau, Power BI, AI/ML models, APIs).

Required Qualifications:

  • 5+ years of experience in data modeling and architecture in cloud data platforms (BigQuery preferred).

  • Expertise in dimensional modeling (Kimball), data vault, and normalization/denormalization techniques.

  • Strong SQL skills, with hands-on experience in BigQuery performance tuning (partitioning, clustering, query optimization).

  • Understanding of retail data models (e.g., sales, inventory, pricing, supply chain, customer analytics).

  • Experience working with data engineering teams to implement models in ETL/ELT pipelines.

  • Familiarity with data governance, metadata management, and data cataloging.

  • Excellent communication skills and ability to translate business needs into structured data models.

Preferred Qualifications:

  • Prior experience working in retail or e-commerce data environments.

  • Exposure to modern data architectures (data lakehouse, event-driven data processing).

  • Familiarity with GCP ecosystem (Dataflow, Pub/Sub, Cloud Storage) and BigQuery security best practices.

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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