Employment Opportunity
Job Title: Data Architect

Job Code: GW-05042112141028
Salary Range: Up to $120K
Job Location: NJ--
City: Piscataway    State: NJ


Our company is a leading global consumer products company, tightly passionate about 
Oral Care, Personal Care, Home Care and Pet Nutrition. Our company sells its products 
in over 200 countries and territories around the world under internationally recognized 
brand names.


We invite applications for the Data Architect position based at our Piscataway, NJ 
location. This role will be part of the Data Warehousing and Data Architecture team, 
modernizing systems and driving overall data architecture across the organization.
The candidate will work in a highly upbeat and collaborative team environment among 
Data Architects, Data Engineers and Data Analysts.

Main Responsibilities:


Establish data architecture principles, build models of data that enable the 
implementation of the business architecture, generate diagrams displaying keydata 
entities, and produce an inventory of the data needed to realize the architecture 
Define how the data is stored, consumed, coordinated and led by different data entities 
and IT systems.
Engage with the data management team in best practices for data sourcing, key data 
elements, data quality management and metadata.
Engage with the data warehousing team in the migration to cloud warehousing
Provide data initiatives, evaluations, and mentorship with projects in accordance to 
our corporate guidelines.
Build expertise in diverse and emerging technologies and new architectural concepts and 

Basic required qualifications:


Bachelor’s or higher degree in Computer Science, Management Information Systems, or a 
related field.
5+ years professional experience as a data architect, data engineer, or related role 
developing conceptual, logical, and preliminary physical models for an enterprise
Experience with programming languages like Python, Java, SQL and Cloud technologies
Confirmed understanding of data modeling and strong data analysis skills
Strong Communication and Interpersonal Skills
Willingness to gain training/certification in designated technologies.