Data Architect

About Marvell

Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, automotive, 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 Marvell’s 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 organization’s 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 organization’s 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 organization’s data capabilities.

What We're Looking For

The Data Architect will play a pivotal role in the design, development, and management of data architectures that support the organization’s data engineering and data science projects. The ideal candidate will have extensive experience in data modeling, data warehousing, and cloud platforms, particularly Snowflake and AWS. This role requires a deep understanding of data security, governance, and best practices in data management, as well as proficiency in data engineering tools such as Python, Airflow, and PL/SQL. The Data Architect will also collaborate closely with data engineers, data scientists, and business intelligence teams to ensure that data solutions meet the organization's analytical and operational needs.

Data Architect should have degree in Information systems ,computer science or equivalent education with 8+ years of experience architecting and developing end to end data and analytic solutions.

Expected Base Pay Range (USD)

132,610 - 198,600, $ 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.

Additional Compensation and Benefit Elements 

At Marvell, we offer a total compensation package with a base, bonus and equity.Health and financial wellbeing are part of the package. That means flexible time off, 401k, plus a year-end shutdown, floating holidays, paid time off to volunteer. Have a question about our benefits packages - health or financial? Ask your recruiter during the interview process.

This role is eligible for our hybrid work model in which you will be able to split time between working from home and on-site in a Marvell office.

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 TAOps@marvell.com.

#LI-MM1