Lead Principal Application Software Engineer- Forward Deployed Engineer

Overview As a senior client-facing engineering leader, you architect and deliver enterprise-scale AI data platform transformations for Oracle's largest customers. You blend hands-on engineering with executive advisory to accelerate AI adoption and modernize data estates, delivering production-ready analytics and GenAI solutions. You will lead complex migrations from Databricks, Snowflake, Azure, and AWS, shaping reusable delivery patterns and CSS best practices. This is a high-impact, cross-functional role partnering with CIOs, CDOs, and engineering leaders to drive measurable modernization outcomes. Compensation / Benefitscompetitive benefitsflexible medical, life insurance, retirement optionsvolunteer programsaccessibility accommodations401(k) with company matchpaid time off and holidays ResponsibilitiesLead architecture and delivery of enterprise AI Data Platform transformationsDesign scalable data consolidation, integration, transformation, governance, and AI-ready architecturesMigrate workloads from Databricks, Snowflake, Azure, AWS and on-prem to Oracle AI Data Platform with optimizationServe as executive technical advisor during customer engagementsArchitect Lakehouse, Medallion Architecture, streaming and real-time analytics using OCI servicesProvide expert Spark configuration, tuning, sizing, and troubleshootingCreate reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologiesDrive AI/ML data prep pipelines, feature engineering, vector-ready datasets, and governed data productsCollaborate with Product Mgmt and Engineering to influence product roadmapMentor senior engineers globally and raise CSS engineering excellence Key requirements10–12+ years designing and delivering enterprise data platformsProven Forward Deployed Engineer / Principal Solution Architect / Consulting Engineer or similar leadershipExpert knowledge of Oracle AI Data Platform or equivalent cloud data platformsExtensive experience with Databricks, Snowflake, Apache Spark, Delta Lake, Azure, AWS, Kafka, Python, SQL, Scala or JavaDeep Spark architecture, configuration, optimization, and distributed systems expertiseTrack record migrating analytics platforms and refactoring Spark/ETL for multi-cloudStrong DataOps, CI/CD, Infrastructure as Code, security, governance, metadata, lineage, observabilityOutstanding executive communication and stakeholder managementExecutive-level communicationStakeholder managementMentorship and people leadershipOracle AI Data PlatformDatabricksSnowflake