Senior Data Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: This position will be within a central organization and tasked with designing, establishing, and maintaining the architecture necessary for Client, Graphics, and Semi-Custom teams to efficiently manage and leverage their data resources. THE PERSON: We are seeking a highly skilled Data Engineer with strong architectural capabilities to join our team at AMD. This individual should also possess a strategic mindset to envision the long-term data architecture roadmap for various groups within the company. They will be capable of aligning data solutions with business goals, anticipating future data needs, and designing scalable architectures that support growth and innovation. The ideal candidate will be involved in the day-to-day implementation of data engineering solutions, able to prototype, lead other data engineers, mentor junior engineers, and coordinate with stakeholders to ensure that projects are delivered on time, within budget, and according to specifications. KEY RESPONSIBILITIES: Collaborating with stakeholders to gather data requirements and define data and analytics solutions. Evaluating and selecting appropriate technologies and tools for data storage, processing, and analytics Implementing data integration, ETL processes, ML and data pipelines to ensure efficient data movement and transformation. Designing and implementing data architectures, including data models, databases, data warehouses, data lakes, and data lakehouses. Assist customer teams with analytics, including creating reports, building dashboards, and implementing machine learning pipelines. Monitoring data performance, troubleshooting issues, and optimizing data processes for efficiency and scalability. Evaluating emerging data technologies, tools, and platforms to determine their suitability for addressing the organization's data challenges and requirements Experience with machine learning concepts, MLOps tools and technologies is beneficial PREFERRED EXPERIENCE: Experience in data management, database design, data modeling, and data architecture preferably within the semiconductor industry or related high-tech sectors Hands-on experience with a variety of ETL and database/warehousing/integration tools like Snowflake, Databricks, NiFi. Proficiency in PySpark/ Scala, SQL & Python. Experience with cloud computing platforms such as AWS, Azure, or GCP is highly desirable (Azure is preferred). Experience working within semiconductor industry or related high-tech sectors Experience collaborating with international teams, particularly in China and India. Experience with Infrastructure-As-Code and CI/CD automation Strong communication skills and the ability to collaborate effectively with semi-conductor engineers, data scientists, and business stakeholders ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science or Engineering preferred LOCATION: Austin, Texas #LI-PA1 #LI-HYBRID At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
THE ROLE: This position will be within a central organization and tasked with designing, establishing, and maintaining the architecture necessary for Client, Graphics, and Semi-Custom teams to efficiently manage and leverage their data resources. THE PERSON: We are seeking a highly skilled Data Engineer with strong architectural capabilities to join our team at AMD. This individual should also possess a strategic mindset to envision the long-term data architecture roadmap for various groups within the company. They will be capable of aligning data solutions with business goals, anticipating future data needs, and designing scalable architectures that support growth and innovation. The ideal candidate will be involved in the day-to-day implementation of data engineering solutions, able to prototype, lead other data engineers, mentor junior engineers, and coordinate with stakeholders to ensure that projects are delivered on time, within budget, and according to specifications. KEY RESPONSIBILITIES: Collaborating with stakeholders to gather data requirements and define data and analytics solutions. Evaluating and selecting appropriate technologies and tools for data storage, processing, and analytics Implementing data integration, ETL processes, ML and data pipelines to ensure efficient data movement and transformation. Designing and implementing data architectures, including data models, databases, data warehouses, data lakes, and data lakehouses. Assist customer teams with analytics, including creating reports, building dashboards, and implementing machine learning pipelines. Monitoring data performance, troubleshooting issues, and optimizing data processes for efficiency and scalability. Evaluating emerging data technologies, tools, and platforms to determine their suitability for addressing the organization's data challenges and requirements Experience with machine learning concepts, MLOps tools and technologies is beneficial PREFERRED EXPERIENCE: Experience in data management, database design, data modeling, and data architecture preferably within the semiconductor industry or related high-tech sectors Hands-on experience with a variety of ETL and database/warehousing/integration tools like Snowflake, Databricks, NiFi. Proficiency in PySpark/ Scala, SQL & Python. Experience with cloud computing platforms such as AWS, Azure, or GCP is highly desirable (Azure is preferred). Experience working within semiconductor industry or related high-tech sectors Experience collaborating with international teams, particularly in China and India. Experience with Infrastructure-As-Code and CI/CD automation Strong communication skills and the ability to collaborate effectively with semi-conductor engineers, data scientists, and business stakeholders ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science or Engineering preferred LOCATION: Austin, Texas #LI-PA1 #LI-HYBRID