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Principal Member of Technical Staff; Data

Job in Seattle, King County, Washington, 98127, USA
Listing for: Oracle
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Principal Member of Technical Staff (Data)

Overview

Job Description
At Oracle Cloud Infrastructure (OCI), we are shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. Blending the agility of a start-up with the global reach of the world’s leading enterprise software company, we empower our teams to create breakthrough solutions and deliver value to our customers.

At Oracle Cloud Infrastructure (OCI), we are shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. Blending the agility of a start-up with the global reach of the world’s leading enterprise software company, we empower our teams to create breakthrough solutions and deliver value to our customers.

Our org (OCI Horizon Data Platform & Analytics) manages the fully self-service based data platform for 450 partner teams in OCI. We enable and build advanced analytics, machine learning, and generative AI-powered solutions and applications that provide actionable insights and drive impactful decision making across OCI, including finance, products, operations, support, and more.

We are seeking a Principal Engineer with deep expertise in building and scaling data infrastructure to enable advanced analytics and AI/ML products for Horizons partner teams and OCI executives. In this role, you will also lead the design, development, and deployment of next-generation AI-driven analytics solutions. You will ensure the security, scalability, and performance of our systems, driving forward OCI’s mission to deliver intelligent cloud experiences.

This is a highly impactful role where you will collaborate cross-functionally, shape critical backend and Data architecture decisions, optimize data pipelines, build governance, and drive innovation in AI-powered analytics on the Oracle Cloud. If you thrive on big challenges and want to help define the future of cloud intelligence, we would love to meet you.

Responsibilities
  • Lead the design, implementation, and optimization of scalable, high performing, and reliable data pipelines on large volume data sets, which will enable actionable insights and ML workloads for our partner teams in OCI.
  • Build and enable data and operational governance for the full lifecycle of the data journey from ingestion to consumption.
  • Build interfaces on top of curated data sets to enable customers to extract insights from diverse sources. Enable the backend and integration work for delivering NL to SQL based GenAI assistants and agents
  • Contribute to the design of next gen scalable Data platform and Data Lake geared for performance, scale, availability, and data quality.
  • Architect, design, and implement secure, scalable, and highly available infrastructure for cutting-edge AI-driven analytics solutions on Oracle Cloud Infrastructure.
  • Help with proactive query optimization efforts.
  • Lead and directly contribute to the end-to-end implementation and deployment of complex analytics and ML pipelines, ensuring robust performance, high reliability, and minimal downtime across multi-region environments.
  • Influence deliverables of multiple engineering teams by leading design reviews and contributing to development and design standards.
  • Champion and execute automation initiatives, building advanced CI/CD pipelines and comprehensive lifecycle policy enforcement to streamline development and operations.
  • Set, enact, and maintain high standards for infrastructure security, compliance, and operational excellence at scale.
  • Collaborate closely with engineering, data science, and business teams—translating strategic goals into innovative, production-grade solutions and actively addressing operational issues.
  • Mentor and guide fellow engineers while remaining actively engaged in coding, architecture reviews, and technical problem-solving.
Basic Qualifications
  • Bachelor’s degree in computer science, Engineering, or a related or related quantitative field.
  • 7+ years of hands-on software or data engineering experience, including direct responsibility for designing, building, and operating well governed large-scale data infrastructure, data platform and data lake.
  • Extensive programming and coding expertise in Java/Python/Scala plus SQL,…
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