FP&A Systems Principal Professional / Data Solutions Architect

Marvell Technology•Irvine, CA

About The Position

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative power of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. The Enterprise Business Applications group is responsible for implementing and supporting various applications and tools to support business requirements.

Requirements

Bachelor’s degree in Information Systems, Computer Science, or related discipline
10+ years of experience developing data warehouse solutions for global enterprises
Demonstrated work with multiple DBMS platforms and data processing technologies, including SQL Server, Oracle, Snowflake, and Databricks and related integration tools
Experience integrating SaaS data and unstructured data sources into the data platform
Excellent query performance tuning knowledge
Knowledge of server administration, hosting alternatives, identity management, storage, indexing alternatives, security and how the unique workloads of analytic processing impact these areas
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
Ability to translate business requirements into scalable data structures and technical solutions
Exposure to AI/ML or GenAI-enabled data and analytics transformation initiatives

Nice To Haves

Semiconductor-specific industry experience highly preferred

Responsibilities

Serve as the primary technical authority for data warehousing architecture, design, tuning, and continuous improvement
Lead database solution design for strategic business analytics projects, defining structures and processes that make data accessible for current and future business needs
Tune the analytics platform to deliver high-performance response for thousands of daily system users
Design and develop the company’s data quality solution for master data
Implement scalable, integrated security solutions for the analytics platform
Design and develop data warehousing services, including data quality, dictionary, cataloging, syndication, retention, migration, and service bus management
Promote data integration and alignment across the company’s application landscape
Provide technical leadership for the extended team as an individual contributor through policy definition, quality control workflows, and change control standards
Collaborate with business system analysts, application developers, and junior staff to design and deliver data solutions
Maintain awareness of industry trends and apply new approaches to business problems as appropriate
Stay current on emerging technologies, including AI and GenAI opportunities in data and analytics, and identify practical use cases to improve data quality, discovery, and 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 data structures, dictionaries, catalogs, and governance standards