Marvell Technology

FP&A Systems Principal Professional / Data Solutions Architect

Marvell Technology$138K — $208K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Information Systems, Computer Science, or a related field
  • 10+ years of experience in developing data warehouse solutions for global enterprises
  • Proficient in multiple DBMS platforms including SQL Server, Oracle, Snowflake, and Databricks
  • Experience integrating SaaS and unstructured data into data platforms
  • Strong knowledge in query performance tuning and database optimization
  • Understanding of enterprise data architecture and data integration concepts
  • Experience with data quality management and semantic solutions

Responsibilities

  • Serve as the primary technical authority for data warehousing architecture and design
  • Lead the design of database solutions for business analytics projects
  • Tune and optimize the analytics platform for high performance
  • Develop solutions for master data quality
  • Implement integrated security solutions for the analytics platform
  • Design and manage data warehousing services and processes
  • Collaborate with cross-functional teams to provide data solutions

Benefits

  • Employee stock purchase plan with a 2-year look back
  • Family support programs to balance work and personal life
  • Robust mental health resources available to all employees
  • Recognition and service awards to celebrate contributions and milestones
  • Eligibility for bonus and equity plans including new hire equity grants
Full Job Description
Your Team, Your Impact

Enterprise Business Applications group is responsible to implement and support various applications and tools to support business requirements.

What You Can Expect
  • 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


What We're Looking For
  • 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
  • Semiconductor-specific industry experience highly preferred


Expected Base Pay Range (USD)
138,840 - 208,000, $ per annum

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.

This role is eligible to participate in Marvell's bonus and equity plans, including a new hire equity grant and annual equity refreshers, ensuring you are rewarded for your contributions and remain invested in the company's long-term success.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones. We look forward to sharing more with you during the interview process.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

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About Marvell Technology

Marvell Technology is a semiconductor company that designs and develops analog, mixed-signal, and digital signal processing integrated circuits. The company's product portfolio includes processors, connectivity, storage, and security solutions. Marvell's customers operate in various industries, including data center, enterprise, automotive, industrial, and consumer electronics. The company was founded in 1995 and is headquartered in Santa Clara, California.
Learn more about Marvell Technology
Size
6,729 employees
Market Cap
$30.6 billion
Industry
Net Income
-$277.3 million
Founded
2013
5 Year Trend
+14.2%
Revenue
$2.9 billion
NASDAQ

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