Data Architect

Marvell Technology - Santa Clara, CA

Full-time - Mid Level

Remote - Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

The Data Architect at Marvell Semiconductor, Inc. is responsible for designing, developing, and managing data architectures that support the organization's data engineering and data science projects. This role plays a critical part in ensuring that the data infrastructure is robust, scalable, and aligned with strategic business goals, while also driving innovation in data analytics and governance.

Responsibilities

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

Requirements

• Degree in Information Systems, Computer Science, or equivalent education.
• 8+ years of experience architecting and developing end-to-end data and analytic solutions.
• Extensive experience in data modeling and data warehousing.
• Proficiency in cloud platforms, particularly Snowflake and AWS.
• Deep understanding of data security, governance, and best practices in data management.
• Proficiency in data engineering tools such as Python, Airflow, and PL/SQL.

Nice-to-haves

• Experience with AI and Gen AI technologies.
• Familiarity with business intelligence tools like Power BI.

Benefits

• Flexible time off
• 401(k)
• Year-end shutdown
• Floating holidays
• Paid time off to volunteer