Oracle Corporation

Lead Principal Application Software Engineer- Forward Deployed Engineer

Oracle Corporation$104K — $264K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10-12+ years in designing and delivering enterprise data platforms
  • Experience as a Forward Deployed Engineer or equivalent technical leader
  • Expert in Oracle AI Data Platform and modern cloud data platforms
  • Deep knowledge of SPARK architecture and performance engineering
  • Proven experience with migrating enterprise analytics platforms
  • Strong grasp of DataOps, CI/CD, and security governance
  • Exceptional executive communication and stakeholder management skills

Responsibilities

  • Lead enterprise AI Data Platform transformations
  • Design scalable data architectures and governance frameworks
  • Oversee migrations from various platforms to Oracle AI Data Platform
  • Serve as an executive technical advisor during engagements
  • Provide expertise in Apache Spark performance and optimization
  • Create reusable migration accelerators and delivery methodologies
  • Facilitate AI/ML data pipeline development and feature engineering

Benefits

  • Medical, dental, and vision insurance
  • Short-term and long-term disability coverage
  • Life and supplemental insurance
  • Flexible Spending Accounts for healthcare and dependents
  • 401(k) plan with company match
  • Flexible vacation and paid time off policy
  • Paid parental leave and adoption assistance
  • Employee Stock Purchase Plan and financial planning support
Full Job Description
Job Description

Oracle Customer Success Services (CSS) is seeking a Senior Principal Forward Deployed Engineer to lead the delivery of strategic AI and data transformation programs for Oracle'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 Oracle 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. You will combine deep hands-on engineering expertise with executive-level consulting, leading complex migrations from Databricks, Snowflake, Azure, AWS, and hybrid environments while defining reusable delivery patterns that shape Oracle CSS best practices.

Responsibilities

Key Responsibilities
  • 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 Oracle 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 Oracle Product Management and Engineering to influence product roadmap through field experience.
  • Mentor senior engineers globally and establish engineering excellence across CSS.


Minimum 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 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.


Preferred Qualifications
  • 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.


Leadership Expectations
  • Own technical strategy for strategic customer programs.
  • Influence Oracle product direction through customer advocacy.
  • Establish reusable engineering standards and delivery frameworks.
  • Recognized thought leader in cloud data engineering and AI platforms.
  • Coach senior architects and engineers across Oracle CSS.
  • Represent Oracle at executive briefings, architecture reviews, conferences, and customer innovation workshops.


#LI-JC1

Qualifications

US: Hiring Range in USD from: $104,600 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC5

About Oracle Corporation

Oracle Dyn Global Business Unit is a pioneer in managed DNS and a leader in cloud-based infrastructure that connects users with digital content and experiences across a global internet. Dyn's solution is powered by a global network that drives 40 billion traffic optimization decisions daily for more than 3,500 enterprise customers, including preeminent digital brands such as Netflix, Twitter, Linkedin and CNBC. Adding Dyn's best-in-class DNS and email services extend the Oracle cloud computing platform and provides enterprise customers with a one-stop shop for Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). On January 31, 2017 Oracle completed the acquisition of Dyn, which now operates as an Oracle Infrastructure-as-a-Service (IaaS) global business unit (GBU).

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Learn more about Oracle Corporation
Size
143,000 employees
Market Cap
$217.3 billion
Industry
Net Income
$12.8 billion
Founded
1977
5 Year Trend
+2.3%
Revenue
$39.6 billion
NASDAQ

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