Data Engineering Lead (Power & Performance Analytics) Job Listing at AMD in Bengaluru, KA (Job ID 75572-en-us)

Description

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.  

Senior Member of Technical Staff (SMTS) – Data Engineering (Power & Performance Analytics)

Role Overview

We are seeking an SMTS-level Database / Data Engineer to build and own the foundational data infrastructure for Power and Performance (PnP) analytics across multiple SoC programs.

This role is responsible for consolidating fragmented engineering data—currently spread across PPTs, Excel sheets, Confluence pages, SharePoint repositories, and program-specific artifacts—into a central, scalable, and trusted database.

This is a high-impact, hands-on technical role that enables automation, analytics, and dashboarding across the PnP organization.

Key Responsibilities

• Design, implement, and own a centralized database architecture for Power and Performance data across programs and SoC generations
• Ingest, normalize, and curate data from diverse and unstructured sources:
• Excel, CSV, PPT-derived data
• Confluence and SharePoint repositories
• Program- or team-specific scripts and data dumps
• Define and maintain data schemas, metadata, versioning, and lineage
• Build robust ETL / ELT pipelines with clear refresh cadence, validation, and error handling
• Ensure data consistency, traceability, and historical tracking
• Partner closely with PnP engineers, architects, and program managers to:
• Understand data semantics
• Translate engineering metrics into structured datasets
• Enable downstream analytics and dashboarding by delivering clean, reliable, well-documented data
• Contribute as a technical owner, not just an implementer—making sound design tradeoffs and driving best practices

Required Qualifications 

• Strong hands-on experience in database design and data engineering
• Expert proficiency in SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server, etc.)
• Proven experience building and maintaining data pipelines for structured and semi-structured data
• Strong data modeling skills and understanding of data lifecycle management
• Ability to work with messy, legacy, and unstructured data and convert it into scalable systems
• Comfortable operating independently with minimal direction in a complex engineering environment
• Strong problem-solving skills and attention to data correctness and integrity

Preferred / Nice-to-Have

• Experience with dashboarding or visualization tools (Power BI, Tableau, Grafana, Looker, etc.)
• Experience supporting engineering, silicon, or performance-related data
• Proficiency in Python or scripting for automation and ingestion
• Exposure to cloud-based or scalable data platforms
• Familiarity with version control, data documentation, and reproducibility best practices

Expectations

• Acts as a go-to technical contributor in data engineering for the PnP organization
• Owns problems end-to-end and drives solutions to completion
• Makes sound architectural decisions within defined scope
• Elevates data quality and trust across teams
• Enables future analytics and dashboarding without being dependent on them

Impact

• Establishes a single source of truth for Power and Performance data
• Reduces manual, slide-based, and ad-hoc reporting
• Accelerates decision-making for engineering and leadership

Lays the foundation for scalable dashboards and analytics

#LI-NR1

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.