Senior Data Engineer: Cloud Data Platform Lead

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

Job summary

Procter & Gamble is seeking a Senior Data Engineer to lead the design and implementation of scalable cloud-based data platforms and complex pipelines. You will partner with senior stakeholders to shape roadmaps and establish enterprise-wide engineering standards while driving real-time data capabilities and robust governance.

The role emphasizes mentorship, architectural influence, and continuous innovation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative field.
• 5+ years of progressive data engineering experience delivering large-scale data platforms and pipelines.
• Proven technical leadership across multiple teams with project mentoring and architectural influence.
• Advanced Python & SQL expertise for complex data manipulation, optimization, and analytics.
• Deep cloud expertise with major platforms (Azure preferred and/or GCP) and data services.

Responsibilities

• Lead the architectural design and implementation of complex, large-scale data solutions with focus on scalability, security, and cost-efficiency.
• Partner with senior stakeholders to translate business objectives into data platform roadmaps and blueprints.
• Architect and optimize ETL/ELT pipelines on cloud platforms, handling large data volumes and real-time processing.
• Mentor data engineers, lead code reviews, and drive enterprise data standards and governance.
• Explore and integrate emerging data technologies and AI capabilities to enhance developer productivity.

Skills

Advanced Python

SQL

Cloud platforms

Education

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

Tools

Azure Databricks

Azure Synapse

Azure Data Factory

Azure Data Lake Storage

Databricks

BigQuery

Dataflow

Pub/Sub

Kafka

Job description

Procter & Gamble is seeking a Senior Data Engineer to lead the design and implementation of scalable cloud-based data platforms and complex pipelines. You will partner with senior stakeholders to shape roadmaps and establish enterprise-wide engineering standards while driving real-time data capabilities and robust governance.

The role emphasizes mentorship, architectural influence, and continuous innovation.