Senior Data Engineer: Cloud Data Platform Lead

Procter & Gamble

Cincinnati (OH)

On-site

USD 110,000 - 165,000

Full time

36 hours ago
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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.

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