Principal Data Engineer

Build trusted analytics at OCI with Oracle’s Capacity Data Analytics team in Nashville, TN (onsite). This role focuses on designing and delivering scalable data engineering solutions and self-service analytics platforms that turn complex operational data into actionable insights for strategic and operational decision-making.

You’ll help create canonical datasets, reusable data models, and SQL-based pipelines that enable accurate reporting and dependable analytical workloads. Along the way, you’ll partner with engineering, finance, product, and business stakeholders to translate complex requirements into production-ready data products, while continuously improving data quality, governance, and documentation.

What You’ll Do

• Design, develop, test, validate, document, and maintain scalable data engineering solutions and self-service analytics platforms.
• Build high-quality SQL-based data pipelines, curated datasets, and reusable data models for reporting and analytics.
• Develop and maintain canonical datasets as trusted sources for strategic and operational decisions.
• Collaborate cross-functionally to understand requirements and translate complex business problems into scalable data solutions.
• Own projects end-to-end, from requirements through production delivery, ensuring accuracy, maintainability, and operational excellence.
• Communicate data lineage, assumptions, business rules, and transformation logic to technical and non-technical audiences.
• Continuously improve data quality, governance, documentation, and engineering best practices.
• Support the development of self-service reporting capabilities that empower stakeholders across OCI.
• Identify automation opportunities to reduce manual work and improve operational efficiency through data-driven solutions.
• Contribute to a collaborative engineering culture focused on knowledge sharing, innovation, and continuous improvement.

Required Qualifications

• Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, Information Systems, Mathematics, or another quantitative discipline.
• Strong experience building 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.
• Demonstrated ability delivering end-to-end data engineering solutions from requirements through production deployment.
• Excellent analytical and problem-solving skills, with the ability to navigate ambiguous business problems.
• Outstanding written and verbal communication skills, including presenting technical concepts to engineering teams and business leaders.
• Proven ability to collaborate effectively 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 translate them into scalable data products.
• Ability to explain technical concepts, data lineage, and analytical findings to diverse audiences.
• A collaborative mindset with commitment to continuous learning and operational excellence.