Master Principal Cloud Architect, AI Data Platform

Job Description

• Modern Data Architecture Expertise — Proven ability to design and position modern data lakehouse solutions, with hands‑on experience in Delta Lake, Apache Iceberg, Spark, and medallion architecture patterns. Expert in architecting unified data platforms that blend the scalability of data lakes and manageability of warehouses.

• Multi‑Platform and Lakehouse Technology Proficiency — Deep familiarity with industry‑leading data platforms such as Databricks, Snowflake, GCP Big Query, AWS Redshift, and Microsoft Fabric. Skilled at articulating technical, architectural, and pricing differentiators, and navigating integration/migration scenarios in hybrid or multi‑cloud settings. Proficient in Python for building PySpark data processing pipelines, general data science work using Jupyter notebooks, building AI Agents using Agentic frameworks such as Lang Chain and Lang Graph.

• Generative AI & Agentic Applications — Hands‑on experience with building and deploying AI assistants, agentic frameworks, vector databases, semantic enrichment processes, and the orchestration of enterprise AI workflows. Ability to translate complex enterprise AI requirements into actionable Oracle cloud‑based solutions.

• AI/ML Solution Engineering in Lakehouse Contexts — Advanced capability in designing and operationalizing scalable data pipelines, MLOps workflows, and AI/ML model deployment using tools like Databricks ML, Big Query ML, Snowpark, and open‑source frameworks (Python, Spark MLlib) within data lakehouse architectures.

• Pre‑Sales Engineering Excellence — Strong track record of engaging with enterprise customers, qualifying opportunities, shaping POCs, and driving adoption from pilot through to production and scale. Skilled at conducting effective discovery, technical presentations, and competitive positioning.

• Thought Leadership & Enablement — Experience producing high‑quality technical assets (white papers, solution accelerators, blogs, videos) and delivering content at customer briefings, industry conferences, and internal enablement sessions.

• Continuous Learning & Influence — Maintains expertise by staying at the forefront of evolving technologies and best practices in AI, data platform modernization, and cloud‑native architectures. Able to influence product engineering and roadmap based on field insights and customer requirements.

Responsible for engaging with strategic and complex customers, building leadership relationships at multiple levels within organizations in order to design and implement solutions. Works directly with customers to gather requirements, develop architectures, and translate business needs into technical solutions. May implement solutions and ensure successful deployments through code development and scripting. Displays deep product/application understanding through highly customized presentations and demonstrations to customers and at conferences and events.

Supports customers from Proof of Concept (POC) through production deployment via resource configuration, planning, and customer education/training. Creates and distributes technical assets (white papers, solution code, blog posts, and video demonstrations). Provides leadership and expertise in the development of new solutions, products, and processes.

Maintains expertise by staying current on emerging technologies. Acts as an acknowledged authority for customers and sales on technical cloud solutions and customer success. Viewed by peers as a leader and top contributor, and by line management as a key business partner. Identifies gaps and enhancements to influence engineering roadmaps for customer‑driven features.

Disclaimer:

Certain US customer or client‑facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US:
Hiring Range in USD from: $141,800 to $232,200 per annum. May be eligible for equity and compensation deferral. Eligible for commission with an estimated pay mix of 70/30.

Oracle maintains broad salary ranges for its roles in…