Colgate-Palmolive · 2 days ago
Data Architect, Supply Chain
Piscataway, NJ
Full-time
Onsite
Mid, Senior Level
$106K/yr - $150K/yr
6+ years expColgate-Palmolive Company is a global consumer products company specializing in various care products. They are seeking a highly skilled Data Architect to lead the design and governance of data assets within the Supply Chain organization, ensuring data quality and accessibility to support strategic initiatives.
BeautyConsumer GoodsHealth CarePersonal Care and Hygiene
No H1B
Responsibilities
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
Qualification
Required
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)
Technical Knowledge: Strong grasp of integration patterns (ETL, ELT, API integration)
Technical Knowledge: Experience with relational databases (e.g., SQL Oracle, PostgreSQL, SAP HANA, SAP BW)
Technical Knowledge: Knowledge of data warehousing/data lakes (e.g., Snowflake, Databricks, GCP BigQuery, Hadoop)
Technical Knowledge: Experience with transformation tools like DBT or Coalesce
Technical Knowledge: Understanding of cloud platforms (GCP, AWS, Azure)
Governance: Familiarity with data governance principles, data quality management tools, and practices
Preferred
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
Benefits
Medical
Dental
Vision
Basic life insurance
Paid parental leave
Disability coverage
Participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements
A minimum of 15 vacation/PTO days
13 paid holidays
Paid sick leave adjusted based on role and location in accordance with local laws.
Company
Colgate-Palmolive
Make More Smiles.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$15.15MKey Investors
SMILE HealthThird PointVontobel
2023-08-08Non Equity Assistance
2022-10-18Post Ipo Equity
2021-03-16Post Ipo Equity· $15.15M
Leadership Team
Stephan Habif
Chief Technology Officer
Stanley J. Sutula III
Chief Financial Officer
Recent News
2026-01-09
2026-01-08
Company data provided by crunchbase