Position is Piscataway, NJ . sponsorship position

Data Architect

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.

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.

Architecture & Modeling:
Create comprehensive conceptual, logical, and physical data models for Supply Chain. Translate business goals into a robust data architecture roadmap and define the dbt project structure, modeling standards (Kimball/Dimensional), and testing frameworks

Data Governance & Product Ownership:
Operationalize enterprise-wide standards, implementing data quality checks, privacy controls (PII masking), and managing metadata/lineage. Implement granular security (Row-Level Security, Dynamic Masking) and define/manage the domain's "Data Products" (e.g., "Inventory Levels") for enterprise use

Optimization & Cost Management (Fin Ops):
Act as the "Design Authority". Proactively optimize pipeline performance and re-architect inefficient data flows to reduce Snowflake credit consumption and improve report performance. Ensure solutions are architected for long-term scalability and cost-efficiency

Collaboration & Evaluation:
Partner with the Data Delivery Lead to ensure architectural integrity. Assess new features (e.g., Iceberg tables) and tools to determine their fit for evolving domain needs

Education & Experience:

Bachelor's or Master's degree in Computer Science or a related field, with 6+ years of experience in data architecture, modeling, and data management

Technical Expertise:
Data Modeling:
Expert-level proficiency in dimensional data modeling (Star Schema, Snowflake Schema) Modern Data Stack:
Deep hands-on experience with Snowflake or any cloud data warehouse (architecture, performance tuning, security).

Experience with transformation tools like dbt or Coalesce Data Foundation:
Knowledge of data warehousing/data lakes (e.g., Databricks, GCP Big Query, Hadoop). Understanding of modeling methodologies (relational, dimensional, No

SQL) and integration patterns (ETL, ELT, API integrations) Orchestration & Analytics:
Solid understanding of Airflow or other orchestration tools (DAG design patterns). Ability to design models for fast dashboard performance, understanding how BI tools (Domo, Sigma or similar) ingest data Governance:
Familiarity with data governance principles and data quality management practices

Professional

Skills:

Strategic thinking and excellent communication skills to translate technical concepts for stakeholders

Preferred Qualifications Prior experience designing data solutions for Supply Chain and relevant process knowledge Experience in Retail or CPG domains Knowledge of privacy regulations such as GDPR and CCPA Relevant certifications (e.g., CDMP, Snowpro Advanced Architect, DBT Architect) Deep Knowledge of ERP systems (such as SAP, Oracle)

Salary Range $ - $ USD Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles. Benefits:
Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k)…