Global Data Architect: Cloud DW & Pipelines (Hybrid)

Colgate-Palmolive Company; Piscataway Township (NJ); Hybrid; USD 86.000 - 121.000; Vollzeit

Benefits dieser Stelle

Medical benefits

401(k) matching

Paid time off

Zusammenfassung

Colgate-Palmolive Company is hiring a Sr. Data Engineer/Data Architect to bridge business strategy and data engineering.

You will build high‑performance data products, unblock engineers with code, and optimize pipelines to keep our supply chain data flowing from SAP, Kinaxis, and WMS/TMS systems. You’ll lead hands-on work across Python, SQL, dbt, Snowflake, and Airflow, while collaborating with Data Delivery Leads and external consultants.

Qualifikationen

• Bachelor’s degree in CS/Engineering or related field.
• 4+ years in data engineering and data architecture.
• Hands-on experience with Python, SQL, dbt, Airflow.
• Experience creating ERDs and DFDs.
• Data Warehouse experience, Snowflake preferred.
• Work Authorization: eligible to work in the US without sponsorship.

Aufgaben

• Lead hands-on data engineering projects across Python, SQL, Snowflake and dbt pipelines.
• Perform GitHub PR reviews to enforce testing, quality, and standards.
• Ensure engineering aligns with modern cloud data warehousing and orchestration standards (Airflow, GKE).
• Deliver high-impact datasets for core metrics sourced from SAP, Kinaxis, and WMS/TMS tools.
• Manage sprint backlogs, timelines, engineers, and third-party consultants across initiatives.

Kenntnisse

Python

SQL

dbt

Airflow

Snowflake

ERDs/DFDs

Data Engineering

Data Architecture

Ausbildung

Bachelor’s degree in Computer Science, Industrial Engineering, Supply Chain, or related quantitative field

Tools

Snowflake

Jobbeschreibung

Colgate-Palmolive Company is hiring a Sr. Data Engineer/Data Architect to bridge business strategy and data engineering.

You will build high‑performance data products, unblock engineers with code, and optimize pipelines to keep our supply chain data flowing from SAP, Kinaxis, and WMS/TMS systems. You’ll lead hands-on work across Python, SQL, dbt, Snowflake, and Airflow, while collaborating with Data Delivery Leads and external consultants.