Senior Principal Data Architect

About Marvell

Marvells 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 potential 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.

Your Team Your Impact

Marvell Data Analytics Team is at the forefront of driving Marvells Data Intelligence Strategy and Architecture initiatives. As a high-visibility team we deliver critical data insights and analytics solutions to the operations and leadership group that empower data-driven decision-making at the highest levels.

Our team is responsible for executing global high-impact projects that add significant value across the organization. By leveraging cutting-edge data analytics technologies and methodologies we ensure that Marvell remains a leader in harnessing data for business advantage.

As Marvell continues to expand its data capabilities the complexity and scale of our data environments have increased. This Data Architect will ensure that our data infrastructure is robust scalable and aligned with the organizations strategic goals. This role will lead the design and management of data architectures that support our current and future business needs.

What You Can Expect

Data Architecture & Modeling:

• Design and implement scalable efficient and secure data architectures that support data engineering and data science projects

• Develop and maintain conceptual logical and physical data models for structured and unstructured data

• Ensure that data models and architecture align with business requirements and industry best practices

Cloud Platforms & Data Engineering:

• Design and manage data solutions on AWS utilizing services such as S3 EMR and other relevant AWS data services

• Develop and maintain data pipelines using Python and Apache Airflow for ETL/ELT processes

• Ensure data workflows are optimized for performance and scalability

• Optimize data storage and retrieval processes to support analytics and reporting needs

Data Security & Governance:

• Implement and enforce data governance policies and procedures to ensure data accuracy integrity and security

Collaboration & Stakeholder Management:

• Collaborate with data engineers data scientists and business intelligence teams to design and implement data solutions that meet business needs

• Work with business stakeholders to understand data requirements and translate them into technical specifications

• Provide guidance and mentorship to junior team members in data architecture and engineering best practices

Business Intelligence & Reporting:

• Collaborate with the BI team to ensure that data models support reporting and analytics needs particularly in tools like Power BI

• Ensure that data is available accurate and accessible to end-users for reporting and decision-making

AI and Gen AI Expertise:

• Collaborate with data science and AI teams to design data architectures that support AI and Gen AI initiatives

• Stay informed about the latest advancements in AI and Gen AI technologies and explore opportunities to integrate these into the organizations data strategy

• Contribute to the continuous improvement of AI-related data processes and infrastructure ensuring scalability and efficiency

Technical Expertise & Continuous Improvement:

• Stay up-to-date with emerging technologies and trends in data architecture engineering analytics AI and Gen AI

• Continuously evaluate and improve existing data architectures to enhance performance scalability and security

• Drive innovation by exploring and recommending new tools and technologies to improve the organizations data capabilities

What Were Looking For

• Bachelors degree in Information Systems Computer Science or a related field (or equivalent education/experience)

• 8 years of experience architecting and developing endtoend data and analytics solutions

• Extensive experience in data modeling and data warehousing

• Experience with Snowflake and cloud platforms. Expertise preferred. AWS highly preferred.

• Proficiency in Python preferred

• Strong skills in PL/SQL

• Ability to design develop and manage scalable data architectures

• Experience supporting data engineering and data science projects

• Understanding of data security best practices. Expertise preferred.

• Handson experience with Airflow for workflow orchestration preferred

• Experiencein data governance data quality and metadata management preferred

• Ability to collaborate closely with data engineers data scientists and BI teams

• Strong communication skills and ability to translate business needs into data solutions

Expected Base Pay Range (USD)

156550 - 234500 $ per annum

The successful candidates 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.

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 lifes 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.

All qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status.

Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at .

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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