Data Architect, Supply Chain

Key Skills

Java Programming, Python Programming, SQL, Looker, Tableau, Domino, Qlik Sense

Job Description

Do you want to come to work with a smile and leave with one as well? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions, and making impactful contributions! If this is how you see your career, Colgate is the place to be!
 
Our dependable household brands, dedicated employees, and sustainability commitments make us a company passionate about building a future to smile about for our employees, consumers, and surrounding communities. The pride in our brand fuels a workplace that encourages creative thinking, champions experimentation, and promotes authenticity which has contributed to our enduring success. If you want to work for a company that lives by their values, then give your career a reason to smile...every single day.
 
Colgate-Palmolive is seeking Data Architect candidates with experience in data architecture & knowledge of machine learning, algorithm development, or artificial intelligence. Candidates do not need experience in all of these areas but should have knowledge and hands-on experience in data architecture & modeling as a minimum requirement. Specific position responsibilities will include but are not limited to the following:

• Leverage technology to solve complex data problems and build data applications on Snowflake data platform;
• Design, develop, and maintain a world class data warehouse and analytics architecture to meet business analysis, reporting needs, and data science initiatives;
• Work directly with supply chain business users and data scientists to assist in project analysis;
• Optimize and scale data warehouse and data processing infrastructure;
• Participate in the development and maintenance of ETL jobs and data pipelines to aggregate data from various sources on premise, cloud platforms & external data sources;
• Design and develop data marts for consumption by analytics tools and end users;
• Develop code standards and guidelines to manage and ensure data quality and integrity;
• Evaluate new technologies and constantly work towards continuous improvements in data architecture, our platform, and the organization;
• Performs other duties as assigned

Required Qualifications:

• Bachelor's Degree preferably in Computer Science, Math or Physics OR comparable work experience;
• Minimum of 5 years of professional experience in a relevant field (Data Architecture, Data Modelling, Data Warehouse Engineering etc.);
• Minimum of 3 years of experience/proficiency in:
• Working with SQL;
• Experience with IoT/IIoT infrastructure built up;
• Python/Javascript or similar programming languages is a plus;
• Ability to communicate well with both technical and non-technical teams

Preferred Qualifications:

• Experience with SAP data extractors & understanding of Supply Chain processes is a plus;
• Experience working with Google cloud platform or similar cloud computing platforms;
• Experience with SAP BI architecture is a plus;
• Familiarity with deploying applications using Docker and Kubernetes, or similar technologies;
• Interest in data science and how it can be leveraged to gain deeper data insights;
• Ability to embrace, learn, and apply new technologies and tools;
• Familiarity working in global & cross functional teams with a drive to ship quickly;
• Familiarity working with data pipelines and streaming frameworks such as dbt, Pubsub, Spark, Kafka etc. (Experience with 1 or 2 of these) is a plus;
• Familiarity with business analytics tools such as Tableau, Domo, Looker, Qlik etc. (Experience with at least 1 of these);
• Minimum of 3 years of experience with RDBMS