Principal Member of Technical Staff (Data)

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 worlds 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 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 OCIs mission to deliver intelligent cloud 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.

In this role you will:

• Influence your team to design implement and optimize large-scale data pipelines and underlying infrastructure for batch and real time processing using SQL and Big Data processing engines on top of large relational and non-relational data stores striking the right balance between consistency availability scale and performance.
• Build and onboard the best-in-class data quality platform observability and data governance framework for the platform and key analytics workflows.
• Design and implement comprehensive automation pipelines for infrastructure security and compliance enabling seamless policy enforcement throughout the product lifecycle.
• Help build the backend infrastructure that enables the best-in-class GenAI/ML products on the cloud.

Basic Qualifications

• Bachelors 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 with a proven track record of delivering production-quality data solutions.
• Excellent knowledge and experience in RDBMS and Non-Relational data stores. Demonstrated experience in SQL. Query performance tuning experience and knowledge is highly desirable but not mandatory.
• Solid experience in building and enabling data and operational governance for the full lifecycle of the data journey from ingestion to consumption.
• Hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow Step Functions etc.
• Solid experience in implementing software engineering security best practices and contributing to design/engineering for SecOps.
• Proven experience influencing and partnering with product management TPMs in translating business requirements into data and engineering specifications.
• Experience architecting implementing and operating secure scalable and highly available cloud-based data infrastructure.
• Practical experience deploying and optimizing CI/CD pipelines automation tools and infrastructure as code (e.g. Terraform Ansible).
• Solid understanding of DevOps/ML Ops practices. Desirable to have some hands-on experience in building deploying and managing analytics/ML models in production.
• Proven ability to design evolve and maintain RESTful APIs (OpenAPI/Swagger).
• Proven ability to drill into code resolve complex technical challenges and actively contribute to problem resolution in high-impact projects.
• Effective communication and collaboration skills with the ability to mentor others while remaining involved in implementation deliverables.
• Experience and knowledge in containerization technologies.

Preferred Qualifications

• Masters or higher degree in Computer Science or a related field.
• 10 years of professional experience in Data infrastructure cloud infrastructure backend engineering DevOps or ML Ops roles.
• Demonstrated experience operating and optimizing large-scale analytics workloads (Spark/Data Flow Autonomous Data Warehouse Object Storage).
• Experience in building production-grade MLOps workflows and deploying ML/AI models at scale highly desirable.
• Experience designing secure automated and compliant infrastructure in regulated environments.
• Experience building or enabling NL to SQL GenAI assistants and agents.
• Advanced coding skills in Python and Java plus experience with distributed computing frameworks (Spark Flink) and building lakes on non-relational stores.
• Prior roles supporting major production systems operations cloud support or similar high-availability domains.
• Strong knowledge of cloud platform (AWS OCI Azure) architectures and operational best practices.
• Deep understanding of data structures algorithms and software engineering best practices.
• Experience in progressive rollout strategies and driving the technical vision for AI-powered analytics solutions.

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 teamstranslating 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.

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: $96800 to $223400 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 Oracles 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.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical dental and vision insurance including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. 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