Oracle · 7 hours ago
Principal Member of Technical Staff (Data)
Austin, TX
Full-time
Onsite
Senior Level, Lead/Staff
$97K/yr - $223K/yr
7+ years expOracle is shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. They are seeking a Principal Engineer with deep expertise in building and scaling data infrastructure to enable advanced analytics and AI/ML products, leading the design and deployment of next-generation AI-driven analytics solutions.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
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
Qualification
Required
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, 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
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
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 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
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
10001+ employees
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)
Funding
Current Stage
Public CompanyTotal Funding
$25.75BKey Investors
HSBC,JPMorgan Chase & Co.Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO
Leadership Team
Esteban Rubens
Healthcare Field CTO
G
Gerard Warrens
Field CTO, Business Strategy and Transformative Technologies
Recent News
The Motley Fool
2026-02-06
2026-02-06
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