Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning.Oracle Fusion Data Intelligence platform (FDI) is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results.The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product, please visithttps://docs.oracle.com/en/cloud/saas/analytics/25r3/index.htmlFDI Pipeline Data Model team defines the application development language and uses the same to build applications – deliver analytic data models for Fusion, NetSuite, Salesforce etc. sources.As one of the senior technical leads on this team in one or more areas, you’ll define and drive the architectural vision for scalable, secure, and innovative data models and platforms supporting analytics and AI initiatives. You’ll lead the design and implementation of enterprise data solutions, set organization-wide standards, and collaborate with leaders across product, pipeline engineering, and content analytics teams. Your expertise will guide the integration of new technologies, ensuring industry-leading data quality, governance, and performance. In this role, you will mentor technical talent and help shape the future direction of FDI. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn.You will manage teams consisting of engineers of junior/mid levels responsible for data model developmentYou should be comfortable with managing and providing technical leadership at developing data model that leverages the core pipeline platform strengths.This role will drive major aspects of our product definition, supply to the product strategy of our solutions, and is paramount to the reliability and efficiency of cloud native multi-tenant analytic solutions that customers rely on for their mission critical decision making.
Responsibilities
Responsibilities:
- Play a hands-on role in designing, developing, and optimizing scalable, secure data models and pipelines that power FDI analytics, machine learning, and AI-driven solutions.
- Serve as the primary subject matter expert and technical authority across one or more Fusion/NetSuite etc. modules, or one or more entire pillars such as ERP, HCM, or SCM.
- Lead and influence key architectural decisions, setting technical direction, standards, and best practices for data modeling, automation, language processing, and user interface integration.
- Build strong relationships and partner with Pipeline engineering, product, and Content analytics leads to ensure alignment of technical solutions with business objectives, advocating for customer benefits.
- Full ownership and accountability for release features in your assigned area as Feature Owner, driving progress, coordinating across teams, and resolving roadblocks.
- Conduct thorough code and design reviews to ensure high performance, maintainability, and extensibility of team deliverables.
- Troubleshoot and resolve complex, high-impact data, pipeline, and platform issues, delivering robust and reliable end-to-end solutions.
- Drive innovation through adoption and hands-on implementation of new technologies, frameworks, and engineering approaches to continuously evolve FDI’s data platform capabilities.
- Mentor and coach engineers across the Pipeline and FDI teams on data management/modeling, building technical excellence and fostering a collaborative, innovation-driven culture.
- Actively participate in planning, technical design reviews, and cross-team forums, shaping the strategic data architecture for FDI
Qualifications;
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, with 8+ years of hands-on experience architecting large-scale data solutions.
- Deep understanding of business processes and sources like Fusion.
- Advanced programming skills in Python, PySpark, Java, Scala and SQL, with proven success designing cloud-native data pipelines and platforms (Oracle Cloud, AWS, Azure, GCP).
- Strong command of data modeling, using leading tools and modern techniques (3NF, Dimensional, Data Vault, etc.) to create and maintain scalable enterprise data models.
- Hands-on experience with Spark, ETL/ELT frameworks, real-time streaming (Kafka/EventHub), and automation across diverse data environments.
- Practical background in AI, LLMs, or machine learning-enabled development—and an eagerness to innovate and learn as the tech evolves.
- Natural collaborator and mentor, comfortable guiding both technical teams and business partners, and able to communicate complex ideas with clarity and impact.
- Passionate about driving innovation, setting technical direction, and helping teams deliver reliable, actionable business insights to customers in a fast-paced, agile environment.
Qualifications
Career Level - M3
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.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.
