Are you a visionary leader passionate about harnessing data to drive transformative cloud solutions? At Oracle, we're redefining the future of cloud technology, and we're looking for a Senior Manager of Data Engineering to join our cutting-edge Analytics and Data Science Team within Oracle Cloud Infrastructure (OCI).

This is your chance to lead a dynamic team of data engineers and architects, solving complex challenges that power the backbone of global enterprises. From optimizing cloud capacity to delivering actionable operational metrics and self-service data analytics, your work will directly impact how businesses scale and innovate in the cloud. In this role, you'll be at the forefront of data-driven decision-making, shaping strategies that enhance OCI's performance and reliability. You'll inspire and mentor a high-performing team, fostering a culture of innovation while collaborating with cross-functional stakeholders to tackle some of the industry's toughest problems. If you thrive in a fast-paced environment and are excited by the opportunity to build scalable, impactful data solutions, we want to hear from you. Join us at Oracle, where your leadership will help shape the future of cloud infrastructure for customers worldwide.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise 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.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that 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.

Manage a team that designs, develops, troubleshoots and debugs software programs for databases, applications, tools, networks etc.

Disclaimer:

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: $118,300 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.

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 - M3

Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
- 7+ years of experience in data engineering with demonstrated expertise designing, building, and maintaining large-scale enterprise data platforms.
- Proven hands-on experience with cloud ecosystem data services (OCI, AWS, Azure), their data engineering tools, and AI/ML service integration.
- Advanced skills in building reliable ETL/ELT pipelines, data integration, transformation, validation, and orchestration frameworks.
- Strong programming skills (e.g., Python, Kafka, Java, Scala) with experience in distributed data processing technologies (e.g. Spark, Databricks, Apache Beam).
- In-depth knowledge of data governance, quality, security, and compliance best practices within cloud-first or hybrid environments.
- Excellent problem-solving, communication, and collaboration skills within global and cross-functional teams.

Responsibilities:
- Design and develop robust, scalable, and secure data pipelines (batch and real-time) to ingest, process, and deliver data from multiple sources.
- Implement and optimize data architectures in cloud environments (OCI, AWS, Azure) including data lakes, data warehouses, ETL/ELT, and orchestration frameworks.
- Collaborate with data architects to implement best practices for data modeling (conceptual, logical, and physical) and support platform-wide standards such as medallion architecture (Bronze/Silver/Gold).
- Design and establish monitoring, alerting, and data quality frameworks to ensure reliability and accuracy of data pipelines.
- Develop and enforce best practices for data security, lineage, metadata management, and compliance requirements.
- Work closely with analysts, ML engineers, business stakeholders, and cross-functional teams to enable industry-specific data use cases and analytics.
- Evaluate, recommend, and onboard new data technologies to continuously improve platform performance and capabilities.
- Lead troubleshooting and root cause analysis for data issues, ensuring continuous platform availability and reliability.
- Mentor and guide data engineers and drive technical excellence and innovation across engineering efforts.

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