Data Architect

Data Architect at Oracle

This platform will integrate diverse data sources and leverage AI/ML solutions for industry-specific challenges, enabling Oracle Industry Applications to unlock value from their data. We are looking for a visionary technical leader with experience developing enterprise data architectures in cloud environments (OCI, AWS, Azure), delivering robust, compliant, and scalable solutions that drive business success. You will be responsible for defining data models and architectures that ensure data is collected, stored, structured, and accessed optimally to support diverse business initiatives within Oracle Industry Applications. You will play a key role in selecting fit-for-purpose data technologies—including data lakes, data warehouses, and analytics services—and setting policies to uphold data governance, quality, and security. You will collaborate closely with data engineers, analysts, and business stakeholders, translating business needs into reliable and innovative data solutions. Expertise in cloud-based data services (AWS, OCI, Azure) is mandatory.

Drive the next wave of data innovation with Oracle. Join our team and architect data-driven transformation across Oracle Industry Applications!

Responsibilities

• Design and oversee the enterprise data platform architecture, integrating multiple internal and external data sources to power Oracle Industry Applications.
• Develop and maintain robust data models (conceptual, logical, and physical) to support analytics, reporting, and AI/ML-driven applications in Oracle Industry Applications.
• Select and implement optimal data storage and processing technologies (e.g., data lakes, data warehouses, ETL pipelines) tailored to platform needs.
• Establish and enforce data governance frameworks, ensuring compliance with regulatory requirements and organizational best practices.
• Define and implement data quality, data lineage, and metadata management processes.
• Collaborate with data engineers on architectural standards, development, and deployment of scalable data pipelines.
• Partner with business teams to understand data requirements, industry-specific use cases, and to identify and prioritize new data sources for Oracle Industry Applications.
• Evaluate and refine platform performance, reliability, scalability, and security.
• Champion cloud-first and cloud-native architectures using OCI, AWS, and/or Azure services.
• Mentor and provide technical leadership to junior architects and engineering teams.

Qualifications

Applicants should possess a Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline, along with 7+ years of experience in data architecture. Proven success in designing large-scale enterprise data platforms is essential, coupled with expertise in data modeling, data integration, and advanced analytics architectures. Hands-on experience implementing solutions using enterprise data storage (warehouses/lakes), data pipelines, and AI/ML integrations is required. Strong programming skills in languages like Python, Kafka, Java, or Scala are necessary, alongside experience with distributed data processing technologies such as Spark, Databricks, or Apache Beam. Deep knowledge of cloud data ecosystems on AWS, Oracle Cloud Infrastructure (OCI), and/or Azure, including familiarity with their native data and AI/ML services, is mandatory. Experience implementing medallion architecture (Bronze/Silver/Gold layer concepts) for structured, scalable, and high-quality data management is also highly valued. A strong understanding of data governance, quality, security, and compliance best practices is expected, with experience in regulated industries being a plus. Proficiency with industry-standard tools for data modeling, ETL/ELT, data cataloging, and metadata management is important. Excellent communication skills, including the ability to translate business requirements into technical deliverables and mentor technical teams, are crucial, as is experience collaborating in cross-functional and global environments.

About Oracle

Oracle brings together the data, infrastructure, applications, and expertise to power industry innovations to life-saving care. With AI embedded across its products and services, Oracle helps customers turn data into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. Oracle is committed to growing a workforce that promotes opportunities for all with competitive benefits that support its people with flexible medical, life insurance, and retirement options, and encourages employees to give back to their communities through volunteer programs. Oracle is an Equal Employment Opportunity Employer.

Key skills/competency

• Data Architecture Design
• Cloud Data Platforms (OCI, AWS, Azure)
• AI/ML Solutions Integration
• Enterprise Data Modeling
• Data Governance & Compliance
• Data Lake/Warehouse Management
• Distributed Data Processing
• Python, Java, Scala Programming
• Medallion Architecture
• ETL/ELT Processes