Senior Manager of Data Engineering

Oracle•Nashville, TN

21h

About The Position

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.

Requirements

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.

Benefits

Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
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.
11 paid holidays
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.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance