2 months ago
Pleasanton, CA, USAStaff+
Base Salary
$105k - $264k/yr
Responsibilities
- Lead architecture and delivery of enterprise AI Data Platform transformation programs.
- Design scalable data consolidation, integration, transformation, governance, Lakehouse, streaming, and real-time analytics architectures.
- Lead migrations from Databricks, Snowflake, Azure, AWS, and on-premises platforms, including workload assessment, code refactoring, Spark optimization, and modernization.
- Serve as an executive technical advisor to CIOs, CDOs, CTOs, chief architects, and engineering leaders.
- Configure, tune, troubleshoot, and optimize Apache Spark, including cluster sizing, partitioning, memory optimization, and adaptive query execution.
- Build reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies.
- Develop AI/ML and Generative AI data preparation pipelines, feature engineering workflows, 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 experience with OCI Architect, Data Engineer, Data Scientist, or AI certifications.
- Preferred experience with LLMs, Retrieval-Augmented Generation, vector databases, AI agents, and MLOps.
- Preferred experience leading 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 hiring range is $104,600–$264,100 per annum, with possible bonus, equity, and compensation deferral.
- Benefits include medical, dental, and vision insurance; disability and life insurance; flexible spending accounts; commuter and parking benefits; 401(k) matching; paid vacation, holidays, sick leave, parental leave, and adoption assistance.
- Additional benefits include an employee stock purchase plan, financial planning, group legal services, and voluntary auto, homeowner, and pet insurance.
- The role is a U.S. customer-facing position and is generally open for at least three calendar days or while posted.
Tech Stack
Categories
Forward Deployed
About Oracle
Oracle builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.