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 leads the Data Intelligence , Data strategy and Architecture initiatives within Marvell . This is a high visibility team providing data intelligence reports to the Marvell Executive team , and responsible for the development odf the CIO Dashboards. Through the implementation of several high visibility and Value Add Projects globally, this team has proved indispensable to Marvell.

What You Can Expect

• Collaborate with business stakeholders to understand data requirements and translate them into technical solutions for data driven transformations.
• Design, architect, and implement data pipelines using cloud platforms/tools (Snowflake, AWS, ,Databricks, Airflow, Power BI etc.)
• Develop and maintain scalable data models that support business processes and analytical needs.
• Ensure data quality, integrity, and security across all data solutions.
• Implement and optimize Spark processing for efficient data transformations and analytics.
• Evaluate and recommend new technologies and tools to enhance data architecture and analytics capabilities.
• Work closely with data scientists to support advanced analytics and machine learning initiatives.
• Lead efforts in data governance and compliance, ensuring adherence to industry standards and regulations.
• Mentor and guide junior team members in best practices for data architecture and engineering.

What We're Looking For

Required Skills and Qualifications:

• Bachelor’s degree in computer science, Information Systems, or a related field; master’s degree preferred.
• Proven experience (7+ years) as a Data Architect, Data Engineer, or similar role in a complex IT environment.
• Strong proficiency with cloud data platforms such as Snowflake/AWS, along with analytics tools such as Microsoft Power BI.
• Experience with data ingestion from diverse sources including Oracle ERP, SFDC, Workday, ServiceNow, etc.
• Strong proficiency in Python for data engineering
• Hands-on expertise in data modeling, schema design, and performance tuning for large-scale data systems.
• Proficiency in Spark, Airflow, and other data processing and orchestration tools.
• Knowledge of data security best practices and compliance requirements (GDPR, CCPA, etc.).
• Excellent communication skills with the ability to collaborate effectively with cross-functional teams and business stakeholders.
• Strong analytical and problem-solving skills, with a keen attention to detail.

Preferred Qualifications:

• Certification in cloud platforms (Snowflake/AWS/Azure/Power BI) and/or other data engineering tools or technologies.
• Experience with AWS or Databricks platforms for data science and advanced analytics.
• Familiarity with semiconductor industry-specific data challenges and requirements especially supply chain and product costing.

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page.

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.

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