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NetSuite · 2 months ago

Principal Member of Technical Staff (Data)

Nashville, TN, United States

Full-time

Onsite

Senior Level, Lead/Staff

6+ years exp

NetSuite, part of Oracle Cloud Infrastructure, is shaping the future of enterprise cloud with innovative solutions. They are seeking a Principal Engineer with expertise in data infrastructure to lead the design and deployment of AI-driven analytics solutions, ensuring security, scalability, and performance while collaborating across teams.

Cloud ComputingComputerCRMiOSSaaSSoftware

No H1B

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

Qualification

Data infrastructureAI/ML productsCloud-based architectureData governanceJava/Python/ScalaSQL expertiseCI/CD pipelinesContainerization technologiesEffective communicationCollaboration skills

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