Principal Data Engineer

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 Oracle Cloud Infrastructure.

This position focuses on designing and implementing data platforms, analytics solutions, and business intelligence capabilities that enable executive decision-making, operational excellence, customer insights, and strategic planning. The ideal candidate is equally comfortable building data pipelines and reporting frameworks as they are driving complex cross-functional initiatives across engineering, product, operations, and executive organizations.

You are a builder who drives outcomes—not simply a facilitator. You possess strong technical depth, high judgment, a bias for action, and the ability to influence teams across large organizations toward a common vision and measurable business results.

You will partner with teams throughout OCI to develop scalable data solutions, establish trusted business metrics, automate reporting processes, and lead strategic initiatives that impact both product and business outcomes. The work is highly visible, customer-focused, and spans multiple organizations across OCI.

Basic Qualifications

• 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

Preferred Qualifications

• 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

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.