Lead Principal Application Software Engineer, Forward Deployed Engineer

Oracle

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Pleasanton, CA
Salary
$104,600–$264,100 / yr
Posted
37 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $184k
$85k most similar roles pay here $283k

This role pays less than 64% of similar roles. Most pay $174,600–$223,750 — the shaded band above. At the midpoint, this role pays about $184k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Lead Principal Application Software Engineer, Forward Deployed Engineer

Lead Principal Application Software Engineer- Forward Deployed Engineer serves as a senior customer-facing engineering leader within the Oracle Customer Success Services team. This individual contributor role focuses on leading the delivery of strategic AI and data transformation programs for large enterprise customers. The engineer will architect, modernize, and operationalize enterprise-scale data platforms while managing complex migrations from Databricks, Snowflake, Azure, and AWS to the Oracle AI Data Platform. Daily responsibilities include designing scalable data integration architectures, performing Spark optimization, and building reusable migration accelerators. Key technical requirements include proficiency in Apache Spark, Python, SQL, Scala, Java, Kafka, and Delta Lake. The role addresses the challenge of modernizing legacy data estates and developing production-ready Generative AI solutions, including RAG, vector databases, and MLOps pipelines to accelerate enterprise AI adoption across various industries.

What you'll do

  • Lead the architecture and delivery of enterprise-scale AI data platform transformations for major customers.
  • Design and implement scalable data consolidation, integration, governance, and AI-ready architectures.
  • Execute complex migrations from Databricks, Snowflake, Azure, and AWS to the Oracle AI Data Platform.
  • Provide expert-level Apache Spark configuration, performance tuning, and troubleshooting for large-scale workloads.
  • Build reusable migration accelerators, reference architectures, and automated delivery frameworks.
  • Develop AI/ML and Generative AI data pipelines including feature engineering and vector-ready datasets.
  • Influence the Oracle product roadmap by providing feedback based on field experience.
  • Mentor global teams of engineers to establish technical excellence across the organization.

What we're looking for

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

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