Jobs / Ora***

Lead Principal Application Software Engineer- Forward Deployed Engineer

Ora*** · Pleasanton, CA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
Pleasanton, CA, United StatesHybrid
Remuneration
Not specified
Location
Pleasanton, CA, United States
Visa sponsorship
Sponsors visa

Job summary

Ora*** Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Ora***'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 Ora*** AI Data Platform.

Qualifications

  • 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 Ora*** 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
  • 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.

Responsibilities

  • This is a senior customer-facing engineering leadership role responsible for architecting, modernizing, and operationalizing enterprise-scale data platforms on the Ora*** AI Data Platform.
  • You will work directly with CIOs, CDOs, CTOs, chief architects, and engineering leaders to accelerate AI adoption, modernize legacy data estates, and deliver production-ready analytics and Generative AI solutions.
  • 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 Ora*** 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 Ora*** Product Management and Engineering to influence product roadmap through field experience.
  • Mentor senior engineers globally and establish engineering excellence across CSS.

Skills

CommunicationLeadership

Degrees

Associate

Industry

AutomotiveBankingHealthcareManufacturingMediaPublic-sectorRetailTelecom

Company size

Enterprise