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Mumbai, MH, IN
Live, first seen by us 61 days agoManage end-to-end delivery of Snowflake data pipelines
Define standardized business metrics in the dbt Semantic Layer
Enforce data ingestion best practices and privacy and security compliance
Build data quality tests and detect anomalies and data drift
Maintain dbt documentation and data lineage tracking
Manage the end-to-end delivery of robust Snowflake data pipelines
Leverage the dbt Semantic Layer to define standardized business metrics
Enforce best practices for data ingestion and ensure all solutions meet security compliance and regulatory requirements including data privacy, consent
implement comprehensive data quality tests,alongside detection anomaly, data drift
Maintain dbt documentation & lineage tracking of data source to
Leadership: Strong leadership qualities with the ability to prioritize and balance competing needs from various stakeholder groups.
Communication: Excellent communication skills with the ability to gather and relay information and timelines to the organization.
- Leadership Experience: 3+ years leading the delivery of high-impact data and analytics initiatives. - Education: Bachelor’s degree in Computer Science, Data Analytics, or a related technical field. - Desirable : Team Management: Demonstrated success in managing and mentoring remote or distributed technical talent.
Delivery & Execution - Pipeline Management: Manage the end-to-end delivery of robust Snowflake data pipelines, leveraging modern engineering tools like dbt, SQL, and Apache Airflow for sophisticated workflow orchestration. Experienced leveraging AI for data engineering desired. - Data Semantic Layer: Leverage the dbt Semantic Layer to define standardized business metrics so that both human analysts and LLM agents query identical, trusted definitions.
- Data Warehouse Architecture natively utilizing Snowflake. - Data Transformation Pipelines built with dbt and SQL. - Workflow Orchestration using Apache Airflow.
- Version Control and CI/CD automation through GitHub. - Ai foundation concepts: Knowledge of Snowpark,Cortex AI SQL, Dynamic tables, vector operations. Soft Skills
- Pipeline Management: Manage the end-to-end delivery of robust Snowflake data pipelines, leveraging modern engineering tools like dbt, SQL, and Apache Airflow for sophisticated workflow orchestration. Experienced leveraging AI for data engineering desired. - Data Semantic Layer: Leverage the dbt Semantic Layer to define standardized business metrics so that both human analysts and LLM agents query identical, trusted definitions. - Cost,governance& privacy Compliance: Enforce best practices for data ingestion and ensure all solutions meet security compliance and regulatory requirements including data privacy, consent to mitigate corporate risk.
- Cost,governance& privacy Compliance: Enforce best practices for data ingestion and ensure all solutions meet security compliance and regulatory requirements including data privacy, consent to mitigate corporate risk. - Data Quality, Observability, and LLM Trust : implement comprehensive data quality tests,alongside detection anomaly, data drift.Maintain dbt documentation & lineage tracking of data source to Experience & Education
Technical Skills - Data Warehouse Architecture natively utilizing Snowflake. - Data Transformation Pipelines built with dbt and SQL.
- Workflow Orchestration using Apache Airflow. - Infrastructure as Code managed via Terraform. - Version Control and CI/CD automation through GitHub.
- Data Transformation Pipelines built with dbt and SQL. - Workflow Orchestration using Apache Airflow. - Infrastructure as Code managed via Terraform.
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition.
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Day 61
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Relocation Assistance Offered Within Country
Job Number #175860 - Mumbai, Maharashtra, India
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising 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.
Asst Manager/Manager, Digital Data Delivery – Consumer/Media/Cross commercial analytics is a pivotal role dedicated to building and scaling the core data foundation that fuels our global reporting and insights. In this role, you will enable/ lead the modernization of our data infrastructure, transforming disparate consumer, sales, marketing touchpoints into unified, secure, and highly available data assets and AI ready.
Pipeline Management: Manage the end-to-end delivery of robust Snowflake data pipelines, leveraging modern engineering tools like dbt, SQL, and Apache Airflow for sophisticated workflow orchestration. Experienced leveraging AI for data engineering desired.
Data Semantic Layer: Leverage the dbt Semantic Layer to define standardized business metrics so that both human analysts and LLM agents query identical, trusted definitions.
Cost,governance& privacy Compliance: Enforce best practices for data ingestion and ensure all solutions meet security compliance and regulatory requirements including data privacy, consent to mitigate corporate risk.
Data Quality, Observability, and LLM Trust : implement comprehensive data quality tests,alongside detection anomaly, data drift.Maintain dbt documentation & lineage tracking of data source to
Technical Experience: At least 6-10+ years of hands-on experience building and scaling robust data applications within complex environments.
Leadership Experience: 3+ years leading the delivery of high-impact data and analytics initiatives.
Education: Bachelor’s degree in Computer Science, Data Analytics, or a related technical field.
Desirable : Team Management: Demonstrated success in managing and mentoring remote or distributed technical talent.
Data Warehouse Architecture natively utilizing Snowflake.
Data Transformation Pipelines built with dbt and SQL.
Workflow Orchestration using Apache Airflow.
Infrastructure as Code managed via Terraform.
Version Control and CI/CD automation through GitHub.
Ai foundation concepts: Knowledge of Snowpark,Cortex AI SQL, Dynamic tables, vector operations.
Thrives in ambiguity within fast-paced digital environments.
Excellent negotiation skills for managing competing product priorities.
Leadership: Strong leadership qualities with the ability to prioritize and balance competing needs from various stakeholder groups.
Communication: Excellent communication skills with the ability to gather and relay information and timelines to the organization.
#LI-RS1
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, colour, 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.
#LI-Hybrid
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Mumbai, MH, IN
- Education: Bachelor’s degree in Computer Science, Data Analytics, or a related technical field. - Desirable : Team Management: Demonstrated success in managing and mentoring remote or distributed technical talent. Technical Skills
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. #LI-Hybrid
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