Lead Data Engineer.

Overview:

WHAT YOU DO AT AMD CHANGES EVERYTHING

Join us as we shape the future of AI and beyond. Together, we advance your career.

Responsibilities:

THE ROLE:

As the Lead Data Architect 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:

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.
• Act as the architectural escalation point for complex data platform issues, providing guidance and resolution across ingestion, storage, processing, analytics, and governance layers.
• Lead cross‑functional architectural collaboration, working closely with data engineering, platform, security, analytics, and product teams to build alignment, drive consensus, and ensure consistent architectural standards.

EXPERIENCE:

• 12+ years of experience in data architecture, data engineering, or large‑scale data platform design, with at least 5 years in a senior, lead, or principal role driving architecture.
• 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

Qualifications:

Benefits offered are described: AMD benefits at a glance.

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.