Senior Data Engineer - Cloud Data Platform Lead

Procter & Gamble; Cincinnati (AR); On-site; USD 110,000 - 165,000; Full time

Job summary

Procter & Gamble in Cincinnati is seeking a Senior Data Engineer to architect and deliver scalable cloud-based data platforms and pipelines, partnering with senior stakeholders to define roadmaps. You will lead complex ETL/ELT workflows and mentor engineers in a collaborative, enterprise-scale environment.

The role emphasizes data governance, observability, and CI/CD for data systems, plus exploration of AI/GenAI to boost productivity and innovation across the analytics landscape.

Qualifications

• Bachelor's or Master’s in Computer Science, Data Engineering, or related field.
• 5+ years designing and delivering large-scale data platforms and pipelines.
• Proven leadership in technical projects and mentorship across teams.
• Expert Python and SQL for data manipulation and analytics.
• Deep cloud experience (Azure preferred / GCP) with data services.
• Experience with distributed processing (Spark/PySpark), data modeling, and API integration.
• Knowledge of DevOps for data, CI/CD, IaC, and data governance.

Responsibilities

• Lead architectural design and implementation of large-scale data platforms.
• Partner with senior stakeholders to define technical roadmaps and data strategies.
• Architect and optimize ETL/ELT pipelines on cloud data platforms.
• Mentor data engineers, lead code reviews, and drive best practices.
• Champion data quality, observability, and governance across solutions.
• Explore AI/ GenAI integrations to improve developer productivity.

Skills

Python

SQL

Cloud platforms

Spark/PySpark

Data modeling

Architectural leadership

API integration

DevOps for data

Data governance

Education

Bachelor's or Master's in CS/Data Eng

Tools

Azure Databricks

Azure Synapse

Databricks

Data Factory

Kafka

Terraform

Job description

Procter & Gamble in Cincinnati is seeking a Senior Data Engineer to architect and deliver scalable cloud-based data platforms and pipelines, partnering with senior stakeholders to define roadmaps. You will lead complex ETL/ELT workflows and mentor engineers in a collaborative, enterprise-scale environment.

The role emphasizes data governance, observability, and CI/CD for data systems, plus exploration of AI/GenAI to boost productivity and innovation across the analytics landscape.