✨ AI Summary
This Senior Manager, Platform Software Engineering role at Oracle focuses on championing cross-team efforts to build and optimize data infrastructure for efficient data processing from various sources. The position involves overseeing the implementation of data governance policies, ensuring data consistency, integrity, and reliability, and coordinating rigorous data validation processes. The role also includes managing data storage solutions for scalable access and analysis, and fostering collaboration in an agile environment to develop, maintain, and debug data solutions that are scalable, efficient, cost-effective, and reliable.
Key responsibilities include identifying data requirements, building data infrastructure, analyzing and troubleshooting data flows, and prioritizing work streams. The role also involves implementing data governance policies, leading PII/PHI redaction processes, ensuring compliance with data privacy and security standards, and supporting data quality assurance. Designing and optimizing data pipeline architectures, managing data flow operations, and developing/debugging data solutions are also core duties. The position requires strong leadership in planning, execution, collaboration, problem-solving, continuous learning, continuous improvement, and performance management, with a career level of M3.
🎁 Benefits & Perks
Medical, dental, and vision insurance, expert medical opinion, short-term and long-term disability insurance, life insurance and AD&D, supplemental life insurance, health care and dependent care flexible spending accounts, pre-tax commuter and parking benefits, 401(k) Savings and Investment Plan with company match, flexible vacation (13 days annually for first three years, 18 days annually thereafter for full-time employees), 11 paid holidays, 72 hours of paid sick leave annually, paid parental leave, adoption assistance, Employee Stock Purchase Plan, financial planning and group legal, voluntary benefits (auto, homeowner, pet insurance).
Requirements
The role requires expertise in building data infrastructure, optimizing data processing, implementing data governance, and ensuring data quality and validation. Candidates should have experience with data storage solutions, data pipelines, agile development, and software engineering principles. Strong project management and cross-functional collaboration skills are essential.
Description
Champions cross-team efforts to build data infrastructure to optimize data processing from a variety of data sources. Oversees the implementation of data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, and reliability. Coordinates cross-team efforts to implement rigorous data validation and integrity checks, anticipating and proactively mitigating data quality issues. Oversees the implementation of data storage solutions to store the processed data to be used in a scalable, optimized, and efficient way for access and analysis. Champions cross-team collaboration in an agile development environment to develop, maintain, and debug data solutions that are scalable, efficient, cost effective, and reliable.