Master Data Analytics Engineer

Established in 1806 as a small soap and candle business in New York City, Colgate-Palmolive is now a truly global company with products sold in over 200 countries and territories under such internationally recognized brand names as Colgate, Palmolive, Softsoap, Irish Spring, Protex, Sorriso, Kolynos, elmex, Tom's of Maine, Sanex, Ajax, Axion, Soupline, Haci Sakir, Suavitel, PCA SKIN, EltaMD, Filorga and Hello as well as Hill's Science Diet and Hill's Prescription Diet.

Colgate-Palmolive is a leading consumer products company that serves hundreds of millions of consumers worldwide with brands and products across four core businesses – Oral Care, Personal Care, Home Care and Pet Nutrition. We are committed to offering products that make lives healthier and more enjoyable, and programs that enrich communities around the world.

Every day millions of people trust our products to care for themselves and the ones they love. Our goal is to use our technology to create products that will continue to improve the quality of life for our consumers wherever they live.

A career at Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.

Job Title:

Master Data Analytics Engineer

Travel Required?:
Travel - up to 10% of time

Posting

Start Date:

11/10/25

Hybrid

No Relocation Assistance Offered
Job Number#170375 - Piscataway, New Jersey, United States

Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!

Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Colgate-Palmolive, a global leader in consumer products, is looking for a talented Solution Architect focused on Master Data to join our innovative Global IT Data Platforms team. As a key member of our technical Master Data Management (MDM) group, you will design, develop, and operationalize high-quality, scalable master data solutions. Your work will play a pivotal role in delivering trusted, analytics-ready data to fuel Colgate’s worldwide analytics, digital transformation, and business growth initiatives.

This position is based out of Piscataway, NJ location. Work visa sponsorship is not available for this position.

• Transform raw master data into analytics-ready datasets through robust ETL/ELT pipelines, data modeling, and documentation to enable business intelligence, advanced analytics, and self-service initiatives.
• Apply data modeling best practices to create and maintain scalable data models on Snowflake (using SQL, Python, DBT, or similar tools).
• Develop, maintain, and enhance data assets for enterprise-wide consumption using the CP Enterprise Data Platform on Snowflake.
• Design, implement, and optimize technical data governance and analytics solutions that serve end-to-end business processes and data domains.
• Manage a centralized and reliable data repository to ensure consistent, standardized, and accurate master data (Product, Supplier, Customer) across systems and analytics use cases.
• Ensure high data quality, governance, and compliance with company standards and best practices throughout the data lifecycle.
• Provide day-to-day support for solution delivery, ongoing operations, and application management.
• Collaborate cross-functionally to gather requirements, troubleshoot data issues, and continuously improve master data analytics capabilities.
• Facilitate clear, timely communication across cross-functional teams; synthesize updates, risks, and decisions.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 3+ years of experience in data engineering, data…