Senior Principal Forward Deployed Engineer

Description

About the Company/Team

Oracle Customer Success Services (CSS) partners with Oracles largest enterprise customers to help them realize measurable business value from Oracle technologies. CSS brings together deep product expertise engineering excellence and customer-focused delivery to support complex transformation programs across industries.

The Oracle CSS AI Data Platform team focuses on helping enterprises modernize legacy data estates accelerate AI adoption and operationalize production-grade analytics machine learning and Generative AI solutions. The team works closely with customer executives architects engineering leaders Oracle Product Management and Oracle Engineering to deliver scalable secure and governed data platforms that support enterprise-wide innovation.

Job Summary

Oracle CSS is seeking a Senior Principal Forward Deployed Engineer to lead strategic AI and data transformation programs for Oracles largest enterprise customers.

This is a senior customer-facing engineering leadership role responsible for architecting modernizing and operationalizing enterprise-scale data platforms on the Oracle AI Data Platform. The role requires a strong blend of hands-on engineering expertise executive-level consulting cloud data platform architecture migration leadership and technical mentorship.

The successful candidate will work directly with CIOs CDOs CTOs chief architects and engineering leaders to accelerate AI adoption migrate and modernize complex data workloads and deliver production-ready analytics and Generative AI solutions. This role will also help define reusable delivery patterns migration accelerators and engineering best practices that shape Oracle CSS delivery excellence globally.

Qualifications & Skills

Mandatory

• 10 to 12 years of experience designing delivering and modernizing enterprise-scale data platforms.
• Proven experience as a Forward Deployed Engineer Principal Solution Architect Consulting Engineer Professional Services technical leader or similar senior customer-facing engineering role.
• Expert knowledge of Oracle AI Data Platform or equivalent modern cloud data platforms.
• Extensive hands-on experience with Databricks Snowflake Apache Spark Delta Lake Azure AWS Kafka Python SQL and Scala or Java.
• Deep expertise in Apache Spark architecture configuration optimization tuning distributed systems large-scale data processing and performance engineering.
• Demonstrated success migrating enterprise analytics platforms and refactoring Spark ETL and data engineering workloads from Databricks Snowflake Azure AWS or on-premises environments.
• Strong understanding of DataOps CI/CD Infrastructure as Code cloud security data governance metadata management lineage and observability.
• Experience designing lakehouse medallion architecture streaming data batch processing real-time analytics and AI-ready data platform solutions.
• Ability to lead complex customer engagements with executive stakeholders technical architects engineering teams and cross-functional delivery groups.
• Outstanding executive communication stakeholder management technical storytelling and customer advisory skills.

Good-to-Have

• OCI Architect OCI Data Engineer OCI Data Scientist Oracle AI or related cloud certifications.
• Experience with LLMs Retrieval-Augmented Generation vector databases AI agents MLOps and production Generative AI architectures.
• Experience leading multi-petabyte data modernization programs across globally distributed delivery teams.
• Industry expertise in Financial Services Healthcare Public Sector Telecommunications Manufacturing Retail or other enterprise-heavy sectors.
• Experience creating reusable engineering standards migration playbooks automation frameworks reference architectures and field enablement assets.
• Recognized thought leadership in cloud data engineering AI platforms enterprise architecture or data transformation programs.
• Experience influencing product direction through customer advocacy field feedback and collaboration with product and engineering teams.

Responsibilities

Key Responsibilities

• Lead the architecture modernization and delivery of enterprise-scale AI Data Platform transformation programs for strategic Oracle customers.
• Design and implement scalable data consolidation integration transformation governance lakehouse streaming real-time analytics and AI-ready data architectures using Oracle Cloud Infrastructure and Oracle AI Data Platform capabilities.
• Lead migrations from Databricks Snowflake Azure AWS hybrid and on-premises environments to Oracle AI Data Platform including workload assessment Spark and ETL refactoring optimization and modernization.
• Serve as an executive technical advisor to CIOs CDOs CTOs chief architects and engineering leaders throughout customer engagements.
• Provide expert-level Apache Spark guidance across configuration performance tuning cluster sizing partitioning memory optimization adaptive query execution troubleshooting and distributed systems performance.
• Build reusable migration accelerators reference architectures automation frameworks implementation patterns and delivery methodologies for Oracle CSS.
• Drive AI/ML and Generative AI data enablement including data preparation pipelines feature engineering vector-ready datasets governed data products and production-grade AI platform foundations.
• Partner with Oracle Product Management and Engineering to share field insights influence product roadmap priorities and improve customer adoption outcomes.
• Mentor senior engineers architects and delivery teams globally while establishing engineering standards and technical excellence across Oracle CSS.
• Represent Oracle in executive briefings architecture reviews customer innovation workshops and industry or customer-facing technical forums.

Self-Assessment Questions

Candidates may reflect on the following questions before applying:

• Have I led enterprise-scale data platform modernization or migration programs involving Databricks Snowflake Azure AWS hybrid or on-premises environments
• Can I independently architect and optimize large-scale Apache Spark workloads including configuration cluster sizing partitioning memory tuning adaptive query execution and troubleshooting
• Do I have hands-on experience designing AI-ready data platforms that include lakehouse architecture medallion patterns streaming governance observability and production analytics
• Have I successfully advised executive stakeholders such as CIOs CDOs CTOs chief architects or engineering leaders on complex technical transformation programs
• Can I balance hands-on engineering delivery with strategic leadership reusable framework development product feedback and mentorship of senior technical teams

Why Join Oracle CSS

At Oracle CSS you will help define how the worlds largest enterprises adopt AI at scale. This role offers the opportunity to combine executive consulting deep hands-on engineering customer-facing leadership product influence and global technical mentorship.

You will play a critical role in shaping Oracle AI Data Platform adoption modernizing mission-critical data estates and delivering production-ready analytics and Generative AI capabilities for some of the most demanding organizations in the world.

Qualifications

Career Level - IC5

Required Experience:

Staff IC

Employment Type : Full Time
Department / Functional Area: Software Engineering
Experience: years
Vacancy: 1