Lead Data Engineer.

At AMD, the mission is to build products that accelerate next-generation computing experiences including AI, data centers, PCs, gaming, and embedded systems. The company emphasizes innovation, collaboration, and technical excellence in its culture. The role is based in Poland, Gdansk, with on-site/hybrid work mode.

• 12+ years of experience in data architecture, data engineering, or large-scale data platform design.
• At least 5 years in a senior, lead, or principal role driving architecture.
• Strong expertise in designing data architectures supporting AI/ML workloads including feature stores, pipelines, batch and streaming data processing, and 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).
• Experience with structured and unstructured data for advanced analytics, machine learning, and generative AI use cases.
• Strong knowledge of data governance, security, and compliance principles 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.
• Ability to collaborate with data scientists, ML engineers, platform teams, and business stakeholders to translate AI/ML requirements into scalable, production-ready data architectures.
• Excellent written and verbal communication skills in English.
• PhD or MSc degree in Computer Engineering, Software Engineering, or Computer Science.

Role and Influence:

• Define, design, and drive the architecture of next-generation data platforms.
• Act as a catalyst for scalable system design, cross-functional alignment, and technical excellence.
• Shape and advance AMD’s data architecture capabilities to deliver high-quality technologies.

Key Responsibilities:

• Define, document, and govern end-to-end data architectures including data lakes/lake houses, analytics platforms, integration patterns, and supporting infrastructure.
• Ensure alignment of data architectures 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 to optimize scalability, performance, reliability, and cost efficiency.
• Drive design and evolution of core data platform components focusing on robustness, data quality, security, fault tolerance, and operational excellence.
• Serve as architectural escalation point for complex data platform issues across ingestion, storage, processing, analytics, and governance layers.
• Lead cross-functional architectural collaboration with data engineering, platform, security, analytics, and product teams to build alignment and ensure consistent architectural standards.

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 consider all applicants without regard to legally protected characteristics. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. This posting is for an existing vacancy.