Senior Principal Forward Deployed Engineer
Oracle
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Job summary
Oracle CSS is seeking a Senior Principal Forward Deployed Engineer to lead strategic AI and data transformation programs for Oracle’s largest enterprise customers. This senior, customer-facing role combines hands-on engineering with executive consulting to architect, modernize, and operationalize enterprise-scale data platforms on the Oracle AI Data Platform.
You will partner with CIOs/CDOs/CTOs and engineering leaders to accelerate AI adoption, migrate workloads, and deliver production-grade
Qualifications
- 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, 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.
- 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.
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.
- Lead migrations from Databricks, Snowflake, Azure, AWS, hybrid, and on-premises to Oracle AI Data Platform, including workload assessment and refactoring.
- Serve as an executive technical advisor to CIOs, CDOs, CTOs, chief architects, and engineering leaders.
- Provide expert-level Apache Spark guidance across configuration, performance tuning, cluster sizing, partitioning, memory optimization, and troubleshooting.
- Build reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies.
- Drive AI/ML and Generative AI data enablement, including pipelines, feature engineering, vector-ready datasets, and production-grade AI foundations.
- Partner with Product Management and Engineering to share field insights and influence roadmaps.
- Mentor senior engineers and delivery teams globally while establishing engineering standards.
- Represent Oracle in executive briefings, reviews, workshops, and technical forums.
Skills
Tools
Job description
Oracle Customer Success Services (CSS) partners with Oracle’s 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.
Oracle Customer Success Services (CSS) partners with Oracle’s 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.
Oracle CSS is seeking a Senior Principal Forward Deployed Engineer to lead strategic AI and data transformation programs for Oracle’s 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.
- 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.
- 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.
- 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.
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?
At Oracle CSS, you will help define how the world’s 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.
Career Level - IC5
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.
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