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Marvell

High-performance semiconductor solutions for data infrastructure

FP&A Systems Principal Professional / Application Architect

Data Management +1Updated on Nov 11
Full-timeIn-person

About the Job

Requirements

  • At least 7 years of experience developing planning solutions for global semiconductor companies, with knowledge of semiconductor business processes, especially engineering project management.
  • Experience with multiple database management system platforms and data processing technologies, including SQL Server, Oracle, Snowflake, Databricks, and related integration tools; experience capturing user-managed data into the analytics platform.
  • Experience externalizing business logic for agile change control, managing identity and roles in an integrated data warehouse, and aligning schemas to segregate business process workloads.
  • Excellent knowledge of query performance tuning.
  • At least 5 years of experience integrating business intelligence tools, including MS Excel, Power BI, dashboards, and other analytic query tools, with data warehouse foundations.
  • Understanding of enterprise data architecture concepts and integrating data across the company's application landscape.
  • Experience with data quality management and semantic knowledge solutions, including exception reporting, data dictionaries, and cataloging.
  • Applicants must be eligible to access export-controlled information as defined under applicable law; some applicants may be subject to an export license review process before employment.

Responsibilities

  • Design and develop the company's integrated business-unit financial planning solution, leveraging the data warehouse master data framework to streamline forward-looking business data.
  • Lead engineering business-process discovery and map current processes to standard reporting frameworks.
  • Enable scenario modeling for long-term demand, product development, product cost, headcount, and financials.
  • Design and tune database applications to deliver high-performance responses for thousands of daily system users.
  • Own and continuously improve user-facing planning tools used by business managers and financial analysts, driving adoption and adaptability to changing requirements.
  • Provide technical leadership for the extended team and set standards for application development and change control.
  • Use MS Office, Power BI, and AI tools to support business analysts and executive reporting.
  • Apply AI/ML and GenAI capabilities to planning and analytics, including AI agents, forecasting, and automation, to reduce manual effort and improve decision-making.
  • Partner with data science and engineering teams to productionize AI-enabled solutions with strong governance, accuracy, and explainability.
  • Create and maintain documentation for application design, business processes, and change-control standards.

Desired Qualifications

  • Experience applying AI/ML or GenAI in an analytic context, including AI agents.
  • Experience managing junior technical staff.
  • Semiconductor-specific industry experience.

About the Company

Marvell

High-performance semiconductor solutions for data infrastructure

Marvell Technology, Inc. creates high-performance semiconductor products that power data infrastructure for telecommunications operators, data centers, and enterprises. Its offerings span computing, storage, and networking to enable efficient, secure data transmission, storage, and processing. The products are programmable and scalable platforms designed for high bandwidth and strong security, supporting 5G networks and the broader digital economy. Revenue comes from designing, manufacturing, licensing, and providing related services to other businesses that integrate these components into their own products. Unlike many peers, Marvell emphasizes programmable, scalable platforms tailored to data infrastructure needs and long-term partnerships with enterprise and telecom customers. The company aims to help customers upgrade their networks and data systems to increase capacity, performance, and efficiency while expanding its own business in the data infrastructure space.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1995

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