Lead Principal Application Software Engineer- Forward Deployed Engineer

- Lead architecture and delivery of enterprise AI Data Platform transformations. - Design and implement scalable data consolidation, integration, transformation, governance, and AI-ready architectures. - Lead migrations from Databricks, Snowflake, Azure, AWS and on-premises platforms to Oracle AI Data Platform, including workload assessment, code refactoring, SPARK optimization, and modernization - Serve as the executive technical advisor throughout customer engagements.

Architect Lakehouse, Medallion Architecture, streaming, and real-time analytics solutions using OCI services. - Provide expert-level Apache Spark configuration, performance tuning, cluster sizing, partitioning, memory optimization, adaptive query execution, and troubleshooting. - Build reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies. - Drive AI/ML and Generative AI data preparation pipelines, feature engineering, vector-ready datasets, and governed data products. - Partner with Oracle Product Management and Engineering to influence product roadmap through field experience. - Mentor senior engineers globally and establish engineering excellence across CSS.

- 10-12+ years designing and delivering enterprise data platforms. - Proven experience as a Forward Deployed Engineer, Principal Solution Architect, Consulting Engineer, or Professional Services technical leader. - Expert knowledge of Oracle AI Data Platform or equivalent modern cloud data platforms. Extensive experience with Databricks, Snowflake, Apache Spark, Delta Lake, Azure, AWS, Kafka, Python, SQL, Scala or Java. - Deep expertise in SPARK architecture, configuration, optimization, tuning, distributed systems, and large-scale performance engineering. - Demonstrated success migrating enterprise analytics platforms and refactoring Spark/ETL workloads from Databricks, Snowflake, Azure, and AWS. - Strong understanding of DataOps, CI/CD, Infrastructure as Code, security, governance, metadata, lineage, and observability - Outstanding executive communication and stakeholder management skills.

- OCI Architect, Data Engineer, Data Scientist, or AI certifications. - Experience with LLMs, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and MLOps. - Experience leading multi-petabyte modernization programs and globally distributed delivery teams. - Industry expertise in Financial Services, Healthcare, Public Sector, Telecommunications, Manufacturing, or Retail.

- Own technical strategy for strategic customer programs. - Influence Oracle product direction through customer advocacy. - Establish reusable engineering standards and delivery frameworks. - Recognized thought leader in cloud data engineering and AI platforms. - Coach senior architects and engineers across Oracle CSS. - Represent Oracle at executive briefings, architecture reviews, conferences, and customer innovation workshops.

You will help define how Oracle's largest customers adopt AI at enterprise scale. This role combines executive consulting, deep hands-on engineering, product influence, and technical leadership, offering the opportunity to shape Oracle AI Data Platform adoption across the world's most demanding organizations.

US: Hiring Range in USD from: $104,600 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.

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 - IC5 Key Responsibilities

• Lead architecture and delivery of enterprise AI Data Platform transformations.
• Design and implement scalable data consolidation, integration, transformation, governance, and AI-ready architectures.
• Lead migrations from Databricks, Snowflake, Azure, AWS and on-premises platforms to Oracle AI Data Platform, including workload assessment, code refactoring, SPARK optimization, and modernization
• Serve as the executive technical advisor throughout customer engagements. Architect Lakehouse, Medallion Architecture, streaming, and real-time analytics solutions using OCI services.
• Provide expert-level Apache Spark configuration, performance tuning, cluster sizing, partitioning, memory optimization, adaptive query execution, and troubleshooting.
• Build reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies.
• Drive AI/ML and Generative AI data preparation pipelines, feature engineering, vector-ready datasets, and governed data products.
• Partner with Oracle Product Management and Engineering to influence product roadmap through field experience.
• Mentor senior engineers globally and establish engineering excellence across CSS.

• 10–12+ years designing and delivering enterprise data platforms.
• Proven experience as a Forward Deployed Engineer, Principal Solution Architect, Consulting Engineer, or Professional Services technical leader.
• Expert knowledge of Oracle AI Data Platform or equivalent modern cloud data platforms. Extensive experience with Databricks, Snowflake, Apache Spark, Delta Lake, Azure, AWS, Kafka, Python, SQL, Scala or Java.
• Deep expertise in SPARK architecture, configuration, optimization, tuning, distributed systems, and large-scale performance engineering.
• Demonstrated success migrating enterprise analytics platforms and refactoring Spark/ETL workloads from Databricks, Snowflake, Azure, and AWS.
• Strong understanding of DataOps, CI/CD, Infrastructure as Code, security, governance, metadata, lineage, and observability
• Outstanding executive communication and stakeholder management skills.

• OCI Architect, Data Engineer, Data Scientist, or AI certifications.
• Experience with LLMs, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and MLOps.
• Experience leading multi-petabyte modernization programs and globally distributed delivery teams.
• Industry expertise in Financial Services, Healthcare, Public Sector, Telecommunications, Manufacturing, or Retail.

• Own technical strategy for strategic customer programs.
• Influence Oracle product direction through customer advocacy.
• Establish reusable engineering standards and delivery frameworks.
• Recognized thought leader in cloud data engineering and AI platforms.
• Coach senior architects and engineers across Oracle CSS.
• Represent Oracle at executive briefings, architecture reviews, conferences, and customer innovation workshops.

You will help define how Oracle's largest customers adopt AI at enterprise scale. This role combines executive consulting, deep hands-on engineering, product influence, and technical leadership, offering the opportunity to shape Oracle AI Data Platform adoption across the world's most demanding organizations.