Data Architect, Supply Chain

No Relocation Assistance Offered

Job Number #171047 - Piscataway, New Jersey, United States

Who We Are

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.

We are seeking a highly skilled and experienced Data Architect to spearhead the definition, design, and governance of data assets within the Supply Chain organization within Global IT. This pivotal role ensures that data remains consistent, high-quality, secure, and accessible to support strategic business initiatives. You will collaborate closely with business stakeholders, delivery leads, data engineers, data scientists, and enterprise architects to build robust data models and integration strategies.

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

What You'll Do

• Supply Chain Data Strategy and Vision
• Landscape Analysis: Develop and maintain a deep understanding of the data landscape, including sources, consumers, and requirements within Supply Chain.
• Strategic Alignment: Define the domain's data vision, principles, and standards, ensuring they align with the broader enterprise data strategy.
• Innovation: Identify opportunities to leverage data to drive innovation and business value.
• Data Modeling and Design
• Model Management: Design and maintain conceptual, logical, and physical data models that accurately reflect the domain's assets and relationships.
• Performance & Scalability: Ensure all data models are scalable, performant, and adhere to industry best practices.
• Standards Definition: Define data dictionaries, standards, and quality rules.
• Transformation Strategy: Define the DBT modeling layers and strategy for data initiatives.
• AI Enablement: Evaluate and implement advanced analytics capabilities, and spearhead AI and ML enablement.
• Data Governance and Quality
• Policy Enforcement: Collaborate with governance teams to establish and enforce policies, standards, and procedures.
• Quality Assurance: Define and monitor data quality metrics, working with teams to ensure accuracy, completeness, and consistency.
• Transparency: Participate in data cataloging efforts to ensure traceability and transparency of data assets.
• Standardization: Enforce enterprise-set standards for metadata, master data management, and modeling.
• Optimize: Perform regular reviews of high-cost queries and data pipelines; re-architect inefficient flows to reduce Snowflake credit consumption and improve report performance.
• Evaluate: Assess new features (e.g., Iceberg tables) and tools to determine their fit for the domain’s evolving needs.
• Data Integration and Flow
• Integration Design: Design and document data integration patterns and flows between the domain and other relevant systems.
• Pipeline Implementation: Collaborate with data engineering teams to implement reliable and efficient data pipelines.
• Security Compliance: Ensure security and compliance requirements are embedded directly into integration processes.
• Collaboration and Leadership
• Subject Matter Expertise: Act as the primary SME for data within the business domain.
• Stakeholder Communication: Translate business needs into technical requirements and communicate concepts clearly to both technical and non-technical audiences.
• Cross-Functional Partnership: Partner with Enterprise and Solution Architects to ensure technological alignment , and work with Customer Success and governance teams to ensure principles are implemented correctly.
• Mentorship: Provide guidance to data engineers and team members on architecture and modeling principles.
  
  

Required Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
• Experience: 6 years of experience in data architecture, data modeling, and data management.
• Technical Knowledge:
• Deep understanding of modeling methodologies (relational, dimensional, NoSQL).
• Strong grasp of integration patterns (ETL, ELT, API integration).
• Experience with relational databases (e.g., SQL Oracle, PostgreSQL, SAP HANA, SAP BW).
• Knowledge of data warehousing/data lakes (e.g., Snowflake, Databricks, GCP BigQuery, Hadoop).
• Experience with transformation tools like DBT or Coalesce.
• Understanding of cloud platforms (GCP, AWS, Azure).
• Governance: Familiarity with data governance principles, data quality management tools, and practices.
  
  

Preferred Qualifications

• Domain Expertise: Experience designing data solutions for Supply Chain with relevant Supply Chain process knowledge
• Industry Experience: Experience in Retail or CPG domains.
• Regulatory Knowledge: Knowledge of privacy regulations such as GDPR and CCPA.
• Tooling: Familiarity with metadata management and data catalog tools.
• Certifications: Relevant certifications such as Certified Data Management Professional (CDMP) or cloud-specific data certifications.
• Skills: Excellent communication, presentation, interpersonal, and problem-solving skills.
  
  

Compensation And Benefits

Salary Range $106,400.00 - $150,000.00 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) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.

Our Commitment to Inclusion

Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer

Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

For additional Colgate terms and conditions, please click here.