Senior Data Engineer: Cloud Data Platform Architect

P G; Cincinnati (OH); On-site; USD 110,000 - 165,000; Full time

Job summary

Procter & Gamble in Cincinnati General Offices seeks a Senior Data Engineer to lead architectural design and delivery of scalable cloud data platforms and pipelines. You will partner with senior stakeholders to translate business objectives into technical roadmaps and ensure data quality, security, and observability.

You will mentor engineers, drive best practices, implement CI/CD and IaC for data pipelines, and evaluate AI-enabled approaches to boost productivity and insights across the

Qualifications

• Bachelor's or Master's degree in Computer Science or data engineering.
• 5+ years leading data engineering on large modern platforms.
• Strong Python & SQL proficiency with performance tuning.
• Hands-on cloud experience with Azure or GCP data services.
• Proven ability to design scalable data architectures and pipelines.

Responsibilities

• Lead architectural design and implementation of large-scale data solutions for cloud platforms.
• Build and optimize resilient ETL/ELT pipelines handling big data volumes.
• Mentor data engineers and drive engineering standards and governance.
• Own end-to-end delivery from design to production and monitoring.
• Evaluate and integrate AI tools to accelerate development and data solutions.
• Embrace modern DevOps practices and IaC for data platforms.

Skills

Python & SQL mastery

Cloud data platforms

Spark/PySpark/Dask

Data modeling & architecture

API & data integration

DevOps & MLOps for data

Generative AI integration

Communication & influence

Strategic ownership

Continuous learning

Education

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

Tools

Azure Databricks

Azure Synapse

Azure Data Factory

Data Lake Storage

BigQuery

Kafka / Event Hubs

Terraform

Git & CI/CD

Job description

Procter & Gamble in Cincinnati General Offices seeks a Senior Data Engineer to lead architectural design and delivery of scalable cloud data platforms and pipelines. You will partner with senior stakeholders to translate business objectives into technical roadmaps and ensure data quality, security, and observability.

You will mentor engineers, drive best practices, implement CI/CD and IaC for data pipelines, and evaluate AI-enabled approaches to boost productivity and insights across the