Principal Data Engineer

Job summary

OCI Strategic Customer Engineering is seeking a highly experienced Principal Data Engineer with deep expertise in Data Engineering, Business Intelligence, and Analytics Platforms. This role is ideal for a technical leader who combines hands-on data engineering capabilities with strong program leadership to deliver scalable, data-driven solutions across Ora*** Cloud Infrastructure.

Qualifications

• OCI Strategic Customer Engineering is seeking a highly experienced Principal Data Engineer with deep expertise in Data Engineering, Business Intelligence, and Analytics Platforms.
• You are a builder who drives outcomes—not simply a facilitator.
• 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
• and deliver scalable data solutions
• Strong written and verbal communication
• 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

Responsibilities

• Data Engineering & Analytics Leadership
• 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,
• Data Processing & Pipelining – Data
• Planning & Execution:

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