Data Engineer- On Prem.

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: As the Data Engineer you will define, design, and drive the architecture of our next‑generation data platforms. In this highly influential role you will be a catalyst for scalable system design, cross‑functional alignment, and technical excellence. A key contributor, you will work with a leading team to shape and advance AMD’s data architecture capabilities, enabling the delivery of high‑quality, industry‑leading technologies to market.  YOU ARE: A hands‑on Data Engineer who contributes to design and evolves complex data platforms operating at enterprise scale. You combine deep expertise with practical implementation experience and work closely with engineering teams to turn ambitious designs into robust, high‑performance systems. You are motivated by challenges others avoid due to scale, complexity, or ambiguity. WHAT YOU CAN EXPECT TO DO: • Define, document, and govern end‑to‑end data architectures, including data lakes / lake houses, analytics platforms, integration patterns, and supporting infrastructure, ensuring alignment with product roadmaps and business objectives. • Translate business, analytics, and product requirements into actionable data architecture designs, including logical and physical data models, platform specifications, interface contracts, and architectural decision records. • Evaluate, select, and recommend modern data technologies and architectural patterns (cloud services, storage engines, compute frameworks, data formats, governance tools) to optimize scalability, performance, reliability, and cost efficiency. • Drive the design and evolution of core data platform components, with a strong emphasis on robustness, data quality, security, fault tolerance, and operational excellence. • EXPERIENCE: • 5+ years of experience in data engineering, or large‑scale data platform design. • Strong expertise in designing data architectures that support AI/ML workloads, including feature stores, pipelines, batch and streaming data processing, data layers. • Hands‑on experience with modern AI/ML and data platforms, such as cloud‑native lake house architectures and ML platforms or tooling for experimentation, training, deployment, and monitoring. • Deep understanding of MLOps and ML lifecycle management, including data versioning, experiment tracking, model governance, CI/CD for ML, and production monitoring. • Proficiency in programming and data languages used in AI/ML ecosystems (e.g., Python, SQL), with the ability to reason about performance, scalability, and reliability of data pipelines. • Experience working with both structured and unstructured data, including datasets used for advanced analytics, machine learning, and generative AI use cases. • Strong knowledge of data governance, security, and compliance principles as applied to AI systems, including data quality, lineage, access control, privacy, and responsible AI considerations. • Solid understanding of cloud infrastructure and distributed systems, including storage, compute, networking, and cost‑optimization strategies for AI‑driven data platforms. • Demonstrated ability to collaborate closely with data scientists, ML engineers, platform teams, and business stakeholders, translating AI/ML requirements into scalable, production‑ready data architectures. • Excellent written and verbal communication skills in English, with proven experience presenting complex AI/data architecture concepts to both technical and executive audiences. ACADEMIC CREDENTIALS: PhD or MSc degree in Computer Engineering, Software Engineering, Computer Science #On-site/hybrid role in Poland, Gdansk #LI-CC5 #LI-hybrid Benefits offered are described: AMD benefits at a glance. 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy. THE ROLE: As the Data Engineer you will define, design, and drive the architecture of our next‑generation data platforms. In this highly influential role you will be a catalyst for scalable system design, cross‑functional alignment, and technical excellence. A key contributor, you will work with a leading team to shape and advance AMD’s data architecture capabilities, enabling the delivery of high‑quality, industry‑leading technologies to market.  YOU ARE: A hands‑on Data Engineer who contributes to design and evolves complex data platforms operating at enterprise scale. You combine deep expertise with practical implementation experience and work closely with engineering teams to turn ambitious designs into robust, high‑performance systems. You are motivated by challenges others avoid due to scale, complexity, or ambiguity. WHAT YOU CAN EXPECT TO DO: • Define, document, and govern end‑to‑end data architectures, including data lakes / lake houses, analytics platforms, integration patterns, and supporting infrastructure, ensuring alignment with product roadmaps and business objectives. • Translate business, analytics, and product requirements into actionable data architecture designs, including logical and physical data models, platform specifications, interface contracts, and architectural decision records. • Evaluate, select, and recommend modern data technologies and architectural patterns (cloud services, storage engines, compute frameworks, data formats, governance tools) to optimize scalability, performance, reliability, and cost efficiency. • Drive the design and evolution of core data platform components, with a strong emphasis on robustness, data quality, security, fault tolerance, and operational excellence. • EXPERIENCE: • 5+ years of experience in data engineering, or large‑scale data platform design. • Strong expertise in designing data architectures that support AI/ML workloads, including feature stores, pipelines, batch and streaming data processing, data layers. • Hands‑on experience with modern AI/ML and data platforms, such as cloud‑native lake house architectures and ML platforms or tooling for experimentation, training, deployment, and monitoring. • Deep understanding of MLOps and ML lifecycle management, including data versioning, experiment tracking, model governance, CI/CD for ML, and production monitoring. • Proficiency in programming and data languages used in AI/ML ecosystems (e.g., Python, SQL), with the ability to reason about performance, scalability, and reliability of data pipelines. • Experience working with both structured and unstructured data, including datasets used for advanced analytics, machine learning, and generative AI use cases. • Strong knowledge of data governance, security, and compliance principles as applied to AI systems, including data quality, lineage, access control, privacy, and responsible AI considerations. • Solid understanding of cloud infrastructure and distributed systems, including storage, compute, networking, and cost‑optimization strategies for AI‑driven data platforms. • Demonstrated ability to collaborate closely with data scientists, ML engineers, platform teams, and business stakeholders, translating AI/ML requirements into scalable, production‑ready data architectures. • Excellent written and verbal communication skills in English, with proven experience presenting complex AI/data architecture concepts to both technical and executive audiences. ACADEMIC CREDENTIALS: PhD or MSc degree in Computer Engineering, Software Engineering, Computer Science #On-site/hybrid role in Poland, Gdansk #LI-CC5 #LI-hybrid Benefits offered are described: AMD benefits at a glance. 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. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.