Base Salary
$105k - $264k/yr
Responsibilities
- Lead architecture and delivery of enterprise AI Data Platform transformation programs.
- Design scalable data consolidation, integration, transformation, governance, and AI-ready architectures.
- Lead migrations from Databricks, Snowflake, Azure, AWS, and on-premises platforms, including workload assessment, code refactoring, Spark optimization, and modernization.
- Act as an executive technical advisor for CIOs, CDOs, CTOs, chief architects, and engineering leaders.
- Architect Lakehouse, Medallion Architecture, streaming, and real-time analytics solutions using OCI services.
- Configure, tune, size, troubleshoot, and optimize Apache Spark clusters and workloads.
- 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 direction.
- Own technical strategy for strategic customer programs and establish reusable engineering standards.
- Mentor senior engineers, architects, and globally distributed delivery teams.
- Represent Oracle at executive briefings, architecture reviews, conferences, and customer innovation workshops.
Requirements
- 10–12+ years of experience designing and delivering enterprise data platforms.
- Experience as a Forward Deployed Engineer, Principal Solution Architect, Consulting Engineer, or Professional Services technical leader.
- Expertise in Oracle AI Data Platform or equivalent modern cloud data platforms.
- Extensive experience with Databricks, Snowflake, Apache Spark, Delta Lake, Azure, AWS, Kafka, Python, SQL, and 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 or ETL workloads.
- Strong understanding of DataOps, CI/CD, Infrastructure as Code, security, governance, metadata, lineage, and observability.
- Outstanding executive communication and stakeholder management skills.
- Preferred certifications include OCI Architect, Data Engineer, Data Scientist, or AI certifications.
- Preferred experience includes LLMs, Retrieval-Augmented Generation, vector databases, AI agents, MLOps, multi-petabyte modernization programs, and globally distributed delivery teams.
- Industry experience in Financial Services, Healthcare, Public Sector, Telecommunications, Manufacturing, or Retail is preferred.
Benefits
- US base salary range is $104,600 to $264,100 per annum, with possible bonus, equity, and compensation deferral.
- Benefits include medical, dental, vision, disability, life insurance, flexible spending accounts, commuter and parking benefits, 401(k) with company match, paid time off, paid holidays, paid sick leave, paid parental leave, adoption assistance, employee stock purchase plan, financial planning, group legal, and voluntary insurance benefits.
- The role generally accepts applications for at least three calendar days from posting or while the job remains posted.
- Visa sponsorship is not available for this role.
Tech Stack
Categories
About Oracle
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale. Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments. The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases. The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control. Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company. This LinkedIn page serves as Oracle’s official global company page.