Data Architect
About The Position
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. Role Summary We are seeking a highly skilled and experienced Data Architect to spearhead the definition, design, and governance of data assets for the North America division 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 platform team to build robust data models and integration strategies.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
- 6+ years of experience in data architecture, data modeling, and data management.
Nice To Haves
- 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).
- 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).
- Familiarity with data governance principles, data quality management tools, and practices.
- Excellent communication, presentation, interpersonal, and problem-solving skills.
- Experience in Retail or CPG domains.
- Familiarity with metadata management and data catalog tools.
- Relevant certifications such as Certified Data Management Professional (CDMP) or cloud-specific data certifications.
Responsibilities
- North America Data Strategy, Vision and Delivery Landscape Analysis: Develop and maintain a deep understanding of the data landscape, including sources, consumers, and requirements for North America.
- Strategic Alignment: Define the division’s data vision, principles, and standards, ensuring they align with the broader enterprise data strategy.
- 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.
- 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.
- 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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
