Principal Cloud DevOps Engineer, Data Pipeline

Oracle is a leading company in AI and cloud solutions, and they are seeking a Principal Cloud DevOps Engineer to shape operational excellence and advance business outcomes in their cloud organization. The role involves developing tools that impact day-to-day operations, collaborating with various teams, and leading the design and implementation of advanced data pipelines.

Responsibilities:

• Collaborate with data scientist and business analyst to transform research code into production-ready services and repeatable processes
• Configure and manage cloud resources within OCI (IAM policies, VCNs, access rules, logging, monitoring)
• Design, build, and maintain CI/CD pipelines for R and Python applications using OCI DevOps, Git-based workflows, and Artifact Registry
• Containerize workloads using Docker, Build Service, or similar tools, ensuring reproducible and scalable deployment patterns
• Set up and manage static web hosting using OCI Object Storage, CDN, and DNS configuration
• Hands-on cloud experience (preferably Oracle Cloud Infrastructure, but AWS/Azure/GCP acceptable with ability to ramp)
• Take end-to-end ownership of the design, implementation, and maintenance of advanced data pipelines and platforms, providing technical leadership from requirements gathering through to production delivery
• Architect, build, and optimize large-scale, reliable, and secure data workflows on Oracle Cloud Infrastructure (OCI), utilizing services such as OCI Data Flow, Data Integration, and Autonomous Data Warehouse
• Collaborate closely with data scientists, software engineers, product managers, and business stakeholders to understand requirements and translate them into scalable technical solutions
• Lead the evaluation and adoption of new Oracle cloud-native data technologies and tools, driving continuous improvement initiatives across data engineering processes
• Ensure compliance with Oracle’s global security, privacy, and data management policies, proactively identifying and mitigating risks
• Mentor and provide technical guidance to junior team members, contributing to a culture of learning, innovation, and operational excellence
• Prepare and present technical proposals, architecture reviews, and optimization recommendations to technical and business leadership
• Ability to turn business needs into working solutions
• Cross-functional collaboration & knowledge sharing to support technical knowledge within the organization

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field
• 5+ years of professional data engineering experience, with demonstrated success independently designing and delivering large-scale data platforms in a cloud environment
• Advanced proficiency with Oracle Cloud Infrastructure (OCI), Autonomous Data Warehouse (ADW), Oracle Database, and Oracle Data Integration tools
• Deep experience with data modeling, warehousing, ETL/ELT design patterns, and building production-grade data solutions using Oracle products
• Strong understanding of data security, privacy, and best practices in a regulated enterprise context
• Outstanding analytical, problem-solving, and communication skills, with a proven track record of cross-team collaboration
• Experience mentoring or providing technical oversight on data engineering best practices
• Experience leading migration projects or building greenfield data platforms on OCI
• Familiarity with Oracle Analytics Cloud, Oracle Machine Learning, and DevOps practices for data workloads
• Professional Oracle certifications in cloud data management or related domains