AI / ML Data Architect

AMD - Boxborough, MA

Full-time - Mid Level

Boxborough, MA

Computer and Electronic Product Manufacturing

About the position

At AMD, we are committed to transforming lives through our technology, and as an AI/ML Data Architect, you will play a crucial role in this mission. This position focuses on architecting, building, and executing a scalable data architecture that supports the expanding use of AI and machine learning technologies across our hardware design and verification processes. You will be responsible for designing, developing, and maintaining robust and scalable data architectures that facilitate our AI/ML initiatives, analytics, and product offerings. Your expertise in data modeling, database management, data warehousing, and cloud-based storage solutions will be essential in optimizing the efficiency and effectiveness of our data-driven processes, contributing significantly to AMD's growth and success. In this role, you will collaborate with cross-functional teams, including data scientists, data engineers, product managers, and software developers, to ensure seamless data integration and optimal performance. You will establish best practices for data modeling, database design, and metadata management, ensuring consistency and standardization across all data platforms and projects. Additionally, you will design, develop, and optimize data warehousing solutions, utilizing both cloud-based and on-premises storage and processing technologies. Continuous exploration and evaluation of state-of-the-art tools, technologies, and methodologies will be part of your responsibilities to enhance AMD's data infrastructure and keep pace with advancements in the field of data architecture. Moreover, you will ensure data security, privacy, and compliance with industry regulations and standards by implementing robust governance, auditing, and monitoring practices. As a mentor, you will guide junior data architects and data engineers, sharing your knowledge and expertise to support their professional growth. This position is pivotal in driving AMD's mission forward, and your contributions will be vital in shaping the future of our data architecture.

Responsibilities

• Design, develop, and maintain scalable and efficient data architectures to support AI/ML initiatives, analytics, and the integration of structured and unstructured data from various sources.
• Collaborate effectively with cross-functional teams, including data scientists, data engineers, product managers, and software developers, to ensure seamless data integration and optimal performance.
• Establish best practices for data modeling, database design, and metadata management, ensuring consistency and standardization across all data platforms and projects.
• Design, develop, and optimize data warehousing solutions, utilizing cloud-based and on-premises storage and processing technologies.
• Continuously explore and evaluate state-of-the-art tools, technologies, and methodologies to improve AMD's data infrastructure and keep up with the latest advancements in the field of data architecture.
• Ensure data security, privacy, and compliance with industry regulations and standards, implementing robust governance, auditing, and monitoring practices.
• Mentor and guide junior data architects and data engineers, sharing your knowledge and expertise to support their professional growth.

Requirements

• Strong professional experience in data architecture, with a proven track record of successful projects and system implementations.
• Strong understanding of data modeling techniques, such as ER, dimensional, and NoSQL modeling, as well as database management systems, including SQL, NoSQL, and NewSQL.
• Proficient in programming languages such as Python, Java, and SQL.
• Solid experience with data processing tools and frameworks, such as Apache Spark, Hadoop, and Kafka.
• Knowledge of various cloud-based storage solutions and technologies (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage).
• Strong analytical, problem-solving, and critical-thinking skills, with the ability to work independently and as part of a team.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex concepts to a diverse audience.
• Bachelor's degree in Computer Science, Information Systems, or a related field; advanced degree (MS or Ph.D.) preferred.

Benefits

• Employee stock purchase plan
• Annual bonus or sales incentive eligibility
• Competitive benefits package