Data Architect
Piscataway, NJ, US
- Pay
USD 96,800–137,000/yearAnnual period assumed · Location-specific pay — pay source
Innovation & Modern Data Stack Adoption: History of evaluating and adopting emerging data technologies (dbt, Dataform, Airflow, modern orchestration frameworks), implementing industry best practices, and driving organizational shifts from legacy to modern architectures. Evidence of proactive problem-solving and commitment to measurable outcomes. Compensation and Benefits Salary Range $96,800.00 - $137,000.00 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.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Before you apply
- Eligibility
Work visa sponsorship is not available for this position. — eligibility source
This position is based out of the Piscataway, NJ location. Work visa sponsorship is not available for this position.
Read the full posting
What you’ll work on
Full postingOwn the technical roadmap that evolves our architecture to meet both current and future business demands.
From the employer’s posting
What you'll do: Architectural Strategy & Design: Design and govern scalable data models and cloud infrastructure (e.g., Snowflake, GCP) that support high-velocity digital data streams while optimizing for performance, cost efficiency, and business flexibility. Own the technical roadmap that evolves our architecture to meet both current and future business demands. Enterprise Data Integration: Own the integration strategy connecting our core Tech stack (CDPs, Google Analytics, CRM) with our enterprise data warehouse, creating digital data products and enabling seamless data flow across systems..
What you’ll bring
All qualificationsCore experience
- Demonstrated ability to lead technical architectural discussions, translate complex requirements into scalable solutions, and collaborate effectively with cross-functional stakeholders to align technical decisions with business priorities.
Preferred experience
- Knowledge of data quality standards, lineage tracking and other industry best practices.
Qualification wording
Systems Integration & Architectural Leadership: Proven experience designing and implementing integrations across complex technology ecosystems . Demonstrated ability to lead technical architectural discussions, translate complex requirements into scalable solutions, and collaborate effectively with cross-functional stakeholders to align technical decisions with business priorities.
AI-Ready Data Architecture: Demonstrated understanding of data structures, architectural patterns required to make data AI ready. Knowledge of data quality standards, lineage tracking and other industry best practices.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- dbt
- Google Cloud (GCP)
- NoSQL
- Snowflake
- Airflow
- Docker
- Kubernetes
Source — Tool mentions in context
- Cloud Data Platform & Infrastructure Expertise: Demonstrated proficiency with at least one major cloud data platform (Snowflake, AWS, or Azure), with hands-on experience in DevOps and infrastructure operations including CI/CD pipelines, containerization (Docker/Kubernetes), infrastructure-as-code, and deployment automation. Must be able to articulate previous production implementations and architectural designs in detail. - Core Technical Skills: Advanced proficiency in SQL and Python, with the ability to design and optimize complex data models for enterprise environments, including relational, NoSQL, and dimensional schemas. - Systems Integration & Architectural Leadership: Proven experience designing and implementing integrations across complex technology ecosystems . Demonstrated ability to lead technical architectural discussions, translate complex requirements into scalable solutions, and collaborate effectively with cross-functional stakeholders to align technical decisions with business priorities.
- Data Architecture Experience: Professional experience in data architecture, data engineering, or similar technical roles, with a minimum of 2 years specifically designing and implementing cloud-based data solutions at enterprise scale. - Cloud Data Platform & Infrastructure Expertise: Demonstrated proficiency with at least one major cloud data platform (Snowflake, AWS, or Azure), with hands-on experience in DevOps and infrastructure operations including CI/CD pipelines, containerization (Docker/Kubernetes), infrastructure-as-code, and deployment automation. Must be able to articulate previous production implementations and architectural designs in detail. - Core Technical Skills: Advanced proficiency in SQL and Python, with the ability to design and optimize complex data models for enterprise environments, including relational, NoSQL, and dimensional schemas.
- AI-Ready Data Architecture: Demonstrated understanding of data structures, architectural patterns required to make data AI ready. Knowledge of data quality standards, lineage tracking and other industry best practices. - Innovation & Modern Data Stack Adoption: History of evaluating and adopting emerging data technologies (dbt, Dataform, Airflow, modern orchestration frameworks), implementing industry best practices, and driving organizational shifts from legacy to modern architectures. Evidence of proactive problem-solving and commitment to measurable outcomes. Compensation and Benefits Salary Range $96,800.00 - $137,000.00 USD
What you'll do: - Architectural Strategy & Design: Design and govern scalable data models and cloud infrastructure (e.g., Snowflake, GCP) that support high-velocity digital data streams while optimizing for performance, cost efficiency, and business flexibility. Own the technical roadmap that evolves our architecture to meet both current and future business demands. - Enterprise Data Integration: Own the integration strategy connecting our core Tech stack (CDPs, Google Analytics, CRM) with our enterprise data warehouse, creating digital data products and enabling seamless data flow across systems..
About Colgate-Palmolive
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.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- May 8, 2026 · 160d ago
- Recorded sightings
- 1,144
- Last seen by us
- Oct 15, 2026
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Job description
No Relocation Assistance Offered
Job Number #172951 - 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.
As a key contributor to our digital data future, the Media Data Architect plays a strategic role in driving competitive advantage within the Global Digital Technology & Data organization. Reporting to a Digital Data Delivery lead, this role is crucial for supporting our high-growth E-commerce and Digital Marketing business functions.
The core responsibility includes strategic innovation: designing, governing, scaling, and maintaining our modern, cloud-based data foundation. This foundation serves as the "single source of truth" for all global digital data initiatives.
This position is based out of the Piscataway, NJ location. Work visa sponsorship is not available for this position. What you'll do:- Architectural Strategy & Design: Design and govern scalable data models and cloud infrastructure (e.g., Snowflake, GCP) that support high-velocity digital data streams while optimizing for performance, cost efficiency, and business flexibility. Own the technical roadmap that evolves our architecture to meet both current and future business demands.
- Enterprise Data Integration: Own the integration strategy connecting our core Tech stack (CDPs, Google Analytics, CRM) with our enterprise data warehouse, creating digital data products and enabling seamless data flow across systems..
- Cross-Functional Technical Leadership: Serve as the technical authority and strategic partner within GIT, translating complex business requirements into clear technical architectures, data products, and implementation roadmaps that drive measurable business outcomes.
- Data Pipeline Architecture & Optimization: Ensure that pipelines are compliant with Colgate’s architectural vision and standards for ETL/ELT workflows, ensuring automated data pipelines are resilient, fully monitored, and optimized for both batch and real-time processing at enterprise scale.
Required Qualifications :
- Education: Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related quantitative field.
- Data Architecture Experience: Professional experience in data architecture, data engineering, or similar technical roles, with a minimum of 2 years specifically designing and implementing cloud-based data solutions at enterprise scale.
- Cloud Data Platform & Infrastructure Expertise: Demonstrated proficiency with at least one major cloud data platform (Snowflake, AWS, or Azure), with hands-on experience in DevOps and infrastructure operations including CI/CD pipelines, containerization (Docker/Kubernetes), infrastructure-as-code, and deployment automation. Must be able to articulate previous production implementations and architectural designs in detail.
- Core Technical Skills: Advanced proficiency in SQL and Python, with the ability to design and optimize complex data models for enterprise environments, including relational, NoSQL, and dimensional schemas.
- Systems Integration & Architectural Leadership: Proven experience designing and implementing integrations across complex technology ecosystems . Demonstrated ability to lead technical architectural discussions, translate complex requirements into scalable solutions, and collaborate effectively with cross-functional stakeholders to align technical decisions with business priorities.
- Digital Platform Knowledge: Experience with platforms such as Salesforce Data Cloud, Segment, mParticle, GA4, Trade Desk, DV360, and data clean room solutions.
- AI-Ready Data Architecture: Demonstrated understanding of data structures, architectural patterns required to make data AI ready. Knowledge of data quality standards, lineage tracking and other industry best practices.
- Innovation & Modern Data Stack Adoption: History of evaluating and adopting emerging data technologies (dbt, Dataform, Airflow, modern orchestration frameworks), implementing industry best practices, and driving organizational shifts from legacy to modern architectures. Evidence of proactive problem-solving and commitment to measurable outcomes.
Compensation and Benefits
Salary Range $96,800.00 - $137,000.00 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.
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- Pay
Innovation & Modern Data Stack Adoption: History of evaluating and adopting emerging data technologies (dbt, Dataform, Airflow, modern orchestration frameworks), implementing industry best practices, and driving organizational shifts from legacy to modern architectures. Evidence of proactive problem-solving and commitment to measurable outcomes. Compensation and Benefits Salary Range $96,800.00 - $137,000.00 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.
- Location & working pattern
Piscataway, NJ, US
For additional Colgate terms and conditions, please click here. #LI-Hybrid
- Work authorization
The core responsibility includes strategic innovation: designing, governing, scaling, and maintaining our modern, cloud-based data foundation. This foundation serves as the "single source of truth" for all global digital data initiatives. This position is based out of the Piscataway, NJ location. Work visa sponsorship is not available for this position. What you'll do:
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