About the role
we are looking for a senior data platform engineer to help customers design and implement modern data platforms that enable scalable analytics and ai initiatives.
job description
this role is focused on building the data foundation behind ai solutions, including lakehouse architectures, data governance, data quality, data unification, and enterprise data modernization initiatives.
the ideal candidate combines strong technical expertise with client‑facing consulting skills, and has hands‑on experience delivering real‑world data platform or migration projects in complex enterprise environments.
key responsibilities
* design and implement modern data platform architectures, including data lakes and lakehouse environments.
* lead technical discussions with customers to understand business and data challenges and translate them into scalable architecture solutions.
* support enterprise data modernization and migration initiatives across cloud ecosystems.
* define and implement data governance, data quality, metadata management, and data unification strategies.
* collaborate with cross‑functional teams including data engineers, architects, ai specialists, and business stakeholders.
* serve as a trusted technical advisor for customers throughout the project lifecycle.
* drive best practices around scalability, security, reliability, and performance of enterprise data platforms.
* present technical solutions and architecture recommendations to both technical and business audiences.
* contribute to ai‑related initiatives by enabling high‑quality and well‑governed data foundations.
* mentor junior engineers and promote knowledge sharing within the team.
preferred background
* 5+ years of experience in data engineering, data architecture, or data platform roles.
* proven experience delivering enterprise data platform, data lake, or lakehouse projects.
* strong understanding of:
o data architecture
o data governance
o data quality
o data integration and unification
o cloud data platforms
* experience with modern data ecosystems.
* experience with data migration and modernization projects.
* ability to communicate effectively with both technical and business stakeholders.
* client‑facing or consulting experience is highly preferred.
* comfortable working across multiple industries and regional teams.
* advanced english communication skills, including technical presentations.
qualifications
career level - ic4
equal employment opportunity
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.
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 or by calling in the united states.
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