Principal Data Engineer
Oracle Cloud Infrastructure
The Oracle Cloud Infrastructure Compute team is seeking a experienced Principal Data Engineer ready to tackle complex business and technical challenges through the managing and analysis of data, in a fast-paced environment. As OCI continues to scale to demands of an ever-growing customer base and regions, we need engineers who can lead data-driven initiatives to ensure OCI continues to provide an outstanding customer experience while continuously improving the efficiency of development processes. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions and has a proven track record of delivering complex data engineering solutions across a highly complex environment involving multiple organizations, departments and teams.
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and 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.
Join the OCI Compute Data Engineering and Analytics team and lead the transformation to a data lakehouse based architecture.
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: $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
The Principal Data Engineer will be responsible for managing complex data pipelines, transformations and aggregations, while adhering to SLA that impact both product and business for OCI. In addition, this specific role requires a passion for solving high-impact problems and the ability to jump into any in-flight project and get it on the rails.
Specific responsibilities for this role include:
- Create Business insights from large structured or un-structured dataset
- Define and implement business data ingestion and analysis requirements.
- Perform data modelling and integration activities in data warehouse systems.
- Coordinate with the business units to identify new data requirements, analysis strategies and reporting mechanisms.
- Recommend enhancements and modifications to optimize processes and performance. Develop and maintain metrics and monitoring to ensure data pipeline performance and reliability
- Design, build, and maintain automated pipelines and transforms to enable our team to self-service 80% of data needs, allowing you to focus on answering hard and ambiguous problems.
- Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Oracle, MySQL).
- Build scalable data solutions; data sets, views, queries and scheduled processes.
- Troubleshoot code, research root causes, document solutions, and communicate to all stakeholders.
- Ensure data quality, integrity, and security across all data pipelines and systems. Support the development of business intelligence standards to meet business goals.
- Provide guidance and mentorship to junior data engineers, contributing to team knowledge and best practices
- Keeps stakeholders informed about problems and resolutions. Deliver products on schedule and communicate updates regularly.
- Identify, track, and resolve data issues, working in partnership with other Data Engineers to ensure data is accurate, complete, delivered on-time and supports the needs of the business.
Basic Qualifications
- Bachelor’s or higher degree in Computer Science, Information Technology or Engineering
- 8 to 14 years of relevant experience
- Hands-on experience in SQL, Python scripting, Data Flows, Databricks notebooks, Spark, Kubernetes, TerraForm.
- Strong experience with Data Lakehouse architecture using Delta Lake for ACID transactions, schema evolution, and time travel.
- Knowledge of Delta Live Tables (DLT) and Medallion Architecture (Bronze, Silver, Gold layers) for data curation.
- Solid understanding of software engineering principles - version control, modular design, CI/CD, and testing frameworks.
- Hands-on experience with Data Integration service in OCI or similar services like AWS Glue, Azure Data Factory, or Apache Airflow for orchestrating and automating data pipelines.
- Solid analytical, planning, and interpersonal skills with an ability to handle competing demands.
- Ability to effectively represent engineering perspectives to partner organizations, product teams, and executive leadership.
- Excellent oral and written communications skills and experience interacting with both business and Development/Engineering staff at all levels including the executive level
Preferred Qualifications
- Experience with cloud services, virtualization, or SaaS products
- Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills
- Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment
- Highly analytical, technically proficient, and able to learn new tools and software quickly
- Demonstrated ability to effectively communicate (oral and written) at different levels in the org
- Experience using agile software development practices and associated tooling
Career Level - IC4
