Principal Data Engineer

Oracle is seeking a highly experienced Principal Data Engineer with expertise in Data Engineering, Business Intelligence, and Analytics Platforms. This role focuses on designing and implementing data platforms and analytics solutions to support decision-making and operational excellence across Oracle Cloud Infrastructure.

Responsibilities:

• Design, build, and scale data pipelines that aggregate information from multiple OCI systems and services
• Develop robust data models, datasets, and reporting frameworks that provide actionable insights for engineering, operations, customer success, and executive leadership
• Architect and implement scalable analytics platforms that support strategic customer programs and operational decision-making
• Design and maintain enterprise-grade data solutions that improve visibility into customer adoption, operational health, service performance, and business outcomes
• Build and automate data ingestion, transformation, and reporting processes to reduce manual effort and improve data accuracy
• Establish data quality, governance, lineage, and observability standards across critical business datasets
• Partner with engineering teams to define telemetry, instrumentation, and data collection strategies
• Perform deep analysis of large and complex datasets to identify trends, opportunities, risks, and operational bottlenecks
• Drive adoption of modern data engineering best practices, tools, and technologies across the organization
• Design and deliver Business Intelligence solutions that provide actionable visibility into customer health, operational performance, and strategic business objectives
• Develop executive dashboards, scorecards, KPI frameworks, and reporting solutions used by senior leadership for decision-making
• Partner with business leaders to define success metrics, operational indicators, and reporting requirements
• Build scalable semantic models and reporting datasets that enable self-service analytics across multiple organizations
• Transform raw operational and engineering data into meaningful business insights and recommendations
• Standardize reporting methodologies and establish trusted sources of truth for key organizational metrics
• Support strategic planning, investment decisions, and customer engagement initiatives through data-driven analysis
• Lead large, complex, cross-functional initiatives spanning engineering, product, operations, and executive leadership teams
• Break down ambiguous business problems into actionable technical workstreams and measurable deliverables
• Develop functional specifications and drive successful execution from concept through delivery
• Identify process gaps and establish scalable mechanisms that improve organizational efficiency and execution
• Manage program schedules, dependencies, risks, and stakeholder communications
• Anticipate bottlenecks, proactively manage escalations, and balance technical constraints with business priorities
• Drive alignment across OCI organizations toward shared objectives and customer outcomes
• Lead interactions with cross-functional teams consisting of Engineers, Product Managers, Architects, Customer Success leaders, and Executive Leadership
• Thrive in a fast-paced, highly ambiguous environment while maintaining focus on delivering measurable business value

Requirements:

• BS degree or equivalent experience in Computer Science, Engineering, Information Systems, Data Science, or related field
• 7+ years of experience in Data Engineering, Analytics Engineering, Technical Program Management, Software Engineering, or related technical roles
• Strong experience designing, building, and maintaining large-scale data pipelines, ETL/ELT frameworks, and cloud-based data platforms
• Experience developing Business Intelligence solutions, executive dashboards, KPI frameworks, and operational reporting systems
• Advanced SQL skills and experience working with large-scale datasets
• Experience with data modeling, data warehousing, analytics platforms, and reporting architectures
• Strong understanding of cloud technologies, distributed systems, and software development lifecycles
• Demonstrated ability to analyze complex datasets and translate findings into actionable business recommendations
• Experience partnering with engineering, product, operations, and business stakeholders to define requirements and deliver scalable data solutions
• Strong written and verbal communication skills with the ability to communicate effectively across technical and executive audiences
• Proven ability to lead large, cross-functional initiatives and drive execution across organizational boundaries
• MS degree or equivalent experience in Computer Science, Data Engineering, Analytics, or related field
• 10+ years of experience in Data Engineering, Analytics Platforms, Business Intelligence, Technical Program Management, or Software Development
• Experience building enterprise-scale data lakes, data warehouses, and analytics platforms
• Experience with cloud-native architectures, distributed systems, and OCI services
• Experience with technologies such as Spark, Kafka, Airflow, Databricks, Snowflake, BigQuery, OCI Data Flow, or similar platforms
• Experience with Oracle Analytics Cloud (OAC), Tableau, Power BI, Looker, or comparable BI platforms
• Experience implementing data governance, data quality, metadata management, and observability frameworks
• Experience developing self-service analytics solutions and semantic data models
• Experience working directly with large enterprise customers and strategic cloud initiatives