Lead Principal Application Software Engineer- Forward Deployed Engineer

Oracle Oracle · Enterprise · Pleasanton, CA +1

Lead Principal Application Software Engineer (Forward Deployed Engineer) at Oracle, responsible for architecting, modernizing, and operationalizing enterprise-scale AI and data transformation programs for large enterprise customers. This role involves leading customer-facing engineering leadership, accelerating AI adoption, modernizing data estates, and delivering production-ready analytics and Generative AI solutions, including migrations from other platforms to Oracle's AI Data Platform. The role also focuses on driving AI/ML data preparation pipelines, feature engineering, and vector-ready datasets.

What you'd actually do

  1. Lead architecture and delivery of enterprise AI Data Platform transformations.
  2. Design and implement scalable data consolidation, integration, transformation, governance, and AI-ready architectures.
  3. 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
  4. Drive AI/ML and Generative AI data preparation pipelines, feature engineering, vector-ready datasets, and governed data products.
  5. Partner with Oracle Product Management and Engineering to influence product roadmap through field experience.

Skills

Required

  • 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.

Nice to have

  • 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.

What the JD emphasized

  • enterprise-scale data platforms
  • AI adoption
  • Generative AI solutions
  • migrations
  • enterprise analytics platforms
  • AI Data Platform

Other signals

  • customer-facing
  • architecting
  • modernizing
  • operationalizing
  • enterprise-scale data platforms
  • AI adoption
  • Generative AI solutions
  • migrations
  • reusable delivery patterns
  • AI/ML and Generative AI data preparation pipelines
  • feature engineering
  • vector-ready datasets
  • governed data products