Data Architect – FDI Pipeline Data Model Team

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, visit

FDI 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 technical leads on this team, you will design and deliver robust, scalable data architectures and models to power advanced analytics and AI-driven insights. You’ll partner with cross-functional teams to integrate diverse data sources and set best practices for data quality, performance, and security. Your leadership will help drive the adoption of innovative tools and design patterns, while mentoring junior engineers and guiding team standards. You will play a key role in shaping the data platform that supports FDI’s next generation of solutions.

QualificationsDisclaimer:
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: $96,800 to $223,400 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 Oracle’s 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

Responsibilities

You will:

• Collaborate with product managers and engineers to translate business and functional requirements into effective, analytical data models.
• Serve as the primary subject matter expert and technical authority across multiple Fusion/NetSuite etc. modules.
• Design, build, and optimize scalable data models and pipelines to support reporting, analytics, and machine learning solutions, ensuring clarity and performance.
• Lead and participate in software engineering projects involving automation, language processing, and user interface development within Data Pipeline team.
• Full ownership and accountability for release features as Feature Owner, driving progress, coordinating across teams, and resolving roadblocks.
• Conduct code reviews and champion best practices for data engineering, focusing on explainability, maintainability, and extensibility.
• Ensure deliverable quality by working with QA to validate data correctness, consistency, and backward compatibility.
• Troubleshoot and resolve data issues, including mismatches and performance bottlenecks, for reliable data solutions.
• Monitor deployment metrics and customer feedback to identify and drive enhancements in existing systems.
• Stay current with emerging technologies and industry trends, evaluating new tools and approaches for adoption.
• Participate in team planning, backlog grooming, and technical design reviews.
• Mentor junior engineers and contribute to a collaborative, innovative, and continuously improving team environment

Qualifications:

You have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 6+ years of hands-on experience designing, building, and optimizing data models and pipelines.
• Deep expertise in cloud databases, data modeling, and ETL processes, as well as experience working with at least one public cloud platform (Oracle Cloud, AWS, Azure, or Google Cloud).
• Strong programming skills in Python, PySpark, Java, Scala or SQL, and are comfortable working with distributed data systems.
• A solid grasp of data management, software design fundamentals, and best practices for building scalable and reliable analytics solutions.
• Recognition as a go-to expert for specific Fusion or NetSuite modules, or deep domain knowledge in areas such as ERP or HCM.
• Valuable practical experience in data pipeline orchestration, automation, or language processing.
• Excellent communication and collaboration skills—adept at partnering with engineers, product teams, and QA, as well as mentoring junior colleagues.
• A constant eagerness to learn, innovate, and contribute new ideas within a supportive, agile, and inclusive team environment

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