Senior Principal Forward Deployed Engineer

Oracle Oracle · Enterprise · HYDERABAD, TELANGANA, India

Senior Principal Forward Deployed Engineer to lead AI and data transformation programs for Oracle's largest enterprise customers, focusing on architecting, modernizing, and operationalizing enterprise-scale data platforms on Oracle AI Data Platform. This role involves executive consulting, hands-on engineering, and leading migrations while driving AI/ML data preparation and Generative AI solutions.

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. Serve as the executive technical advisor throughout customer engagements.
  5. Drive AI/ML and Generative AI data preparation pipelines, feature engineering, vector-ready datasets, and governed data products.

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/ML and Generative AI data preparation pipelines
  • vector-ready datasets
  • LLMs, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and MLOps

Other signals

  • enterprise-scale data platforms
  • accelerate AI adoption
  • modernize legacy data estates
  • production-ready analytics and Generative AI solutions
  • migrations from Databricks, Snowflake, Azure, AWS
  • AI/ML and Generative AI data preparation pipelines
  • feature engineering
  • vector-ready datasets
  • LLMs, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and MLOps