Oracle
Principal Member of Technical Staff (Data)
1 week ago Be among the first 25 applicants
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.
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’ll 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
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
Bachelor’s degree in computer science, Engineering, or a 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
Master’s 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 (Expanded)
Lead the design, implementation, and optimization of scalable, high‑performing, and reliable data pipelines on large volume data sets, enabling actionable insights and ML workloads.
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.
Benefits
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...
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year...
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
Salary Range US: Hiring Range in USD from: $96,800 - $223,400 per year. May be eligible for bonus and equity.
Equal Employment Opportunity Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
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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.
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’ll 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
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
Bachelor’s degree in computer science, Engineering, or a 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
Master’s 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 (Expanded)
Lead the design, implementation, and optimization of scalable, high‑performing, and reliable data pipelines on large volume data sets, enabling actionable insights and ML workloads.
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.
Benefits
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...
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year...
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
Salary Range US: Hiring Range in USD from: $96,800 - $223,400 per year. May be eligible for bonus and equity.
Equal Employment Opportunity Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
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