Principal Data Engineer

Job Description

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.

• 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 life cycles
• 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, Big Query, 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

• 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…