Principal Data Engineer to support the Products Data Exchange (PDE) initiative—part of a strategic program focused on modernizing our data landscape to enable global reporting, AI/ML capabilities, and real-time analytics. This role is responsible for designing, implementing, and scaling cloud-based data solutions, with deep expertise in Azure, AWS, and SAP environments.

Key Responsibilities:

• Architect and deliver scalable data platforms and pipelines
• Translate business needs into production-ready data solutions
• Lead ELT development, data modeling, and ingestion
• Drive stakeholder engagement and provide technical mentorship
• Ensure best practices in DevOps, change management, and documentation
• Contribute to broader PDS 2030 digital and analytics vision

Mandatory Skills:

• Azure, AWS, SAP (expert level)
• ELT development, data modeling, data integration (expert level)
• Databricks, Azure Data Factory, Synapse, SQL DB, Redshift, Glue, Stream Analytics, Airflow, Kinesis
• GitHub, GitHub Actions, Azure DevOps, SonarQube, PyTest
• Python (strong development background)

Preferred Skills:

• Experience leading scrum teams or managing small technical teams
• Exposure to planning tools (e.g., BPC) or documentation tools (e.g., MKDocs)
• Familiarity with scientific computing, seismic, or subsurface data
• Energy, oil and gas, or trading domain experience

Project Background:
Products Data Exchange (PDE) is a centralized cloud repository for harmonized data supporting our Downstream and Trading organizations. It enables real-time access to curated datasets and supports global intra-day reporting and analytics aligned to our PDS 2030 Vision.