Principal Cloud DevOps Engineer, Data Pipeline

Why Join OCI Business Operations Tooling development team?

As a member of the OCI Business Operations Tooling development team, you will play a key role in shaping operational excellence and advancing business outcomes in one of Oracle's fastest-growing cloud organizations. Join a high-impact, innovative environment where your work drives tangible results and supports critical business strategies across OCI.

Accelerate OCI's success by developing tools that deliver measurable results and directly impact day-to-day operations.

Shape future standards and best practices while collaborating closely with senior leaders to showcase your expertise.

Work on cutting-edge AI and cloud-native projects in a dynamic, fast-growing, and innovation-focused team.

Qualifications Disclaimer

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only.

US : Hiring Range in USD from : $96,800 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Benefits

Oracle US offers a comprehensive benefits package which includes the following

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee / Spouse / Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off : Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave : 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

Responsibilities

Key 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.

Required Qualifications

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.

Preferred Qualifications

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.

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