Principal Data Engineer

Job DescriptionJob Description 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) 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.

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