Principal Data Engineer

Oracle Cloud Infrastructure (OCI) is looking for a Principal Data Engineer to join the Capacity Data Analytics team in Nashville, TN (onsite). The role focuses on building scalable data engineering solutions and self-service analytics capabilities, turning complex operational data into trusted, actionable insights.

Responsibilities

• Design, develop, test, validate, document, and maintain scalable data engineering solutions and self-service analytics platforms.
• Create high-quality SQL-based data pipelines, curated datasets, and reusable data models for reporting and analytical workloads.
• Develop and maintain canonical datasets that act as trusted sources for strategic and operational decision-making.
• Collaborate with engineering, finance, product, and business stakeholders to capture requirements and translate business problems into scalable data solutions.
• Own initiatives end to end, from requirements through production delivery, with focus on accuracy, maintainability, and operational excellence.
• Communicate data lineage, assumptions, business rules, and transformation logic to technical and non-technical audiences.
• Improve data quality, governance, documentation, and engineering best practices on an ongoing basis.
• Support the development of self-service reporting capabilities for stakeholders across OCI.
• Identify opportunities to automate manual workflows and improve operational efficiency through data-driven solutions.
• Contribute to a collaborative engineering culture centered on knowledge sharing, innovation, and continuous improvement.

Requirements

• Bachelor’s degree, or equivalent practical experience, in Computer Science, Engineering, Information Systems, Mathematics, or another quantitative discipline.
• Strong experience developing complex SQL queries for large-scale analytical workloads.
• Experience designing and implementing data warehouse solutions, data models, and ETL/ELT pipelines.
• Strong understanding of data modeling, data quality, metadata, and data lineage concepts.
• Experience delivering end-to-end data engineering solutions from requirements through production deployment.
• Excellent analytical and problem-solving skills, including the ability to work through ambiguous business problems.
• Outstanding written and verbal communication skills, with experience presenting technical concepts to both engineering teams and business leaders.
• Demonstrated ability to collaborate across cross-functional organizations.

Technologies

• SQL
• ETL/ELT

Preferred Qualifications

• Experience supporting cloud infrastructure, capacity planning, operations analytics, or large-scale distributed systems.
• Experience developing self-service analytics platforms and reporting solutions.
• Familiarity with modern data engineering technologies and cloud-native data architectures.
• Experience working with large, complex datasets in fast-paced engineering organizations.
• Passion for building trusted data products that enable strategic decision-making.

What You’ll Bring

• Deep expertise in SQL and data engineering best practices.
• Strong ownership and accountability for delivering high-quality solutions.
• Curiosity to understand complex business domains and convert them into scalable data products.
• Ability to explain technical concepts, data lineage, and analytical findings to diverse audiences.
• A collaborative approach with commitment to continuous learning and operational excellence.