Data Engineering Lead (Power & Performance Analytics), AMD

Data Engineer
India, Bengaluru
February 24, 2026
Full Time

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Job Description

The Data Engineering Lead (Power & Performance Analytics) role is a high-impact, hands-on position that builds and maintains essential data systems which provide Power and Performance analytics services to multiple SoC programs. The role focuses on consolidating fragmented engineering data into a centralized, trusted database that enables automation, analytics, and scalable dashboarding across AMD’s PnP organization.

Date Posted: NA

Expiration Date: NA

Job ID: 75572

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Key Responsibilities

  • Design, implement, and own a centralized database architecture for Power and Performance data across SoC generations.
  • Ingest, normalize, and curate structured and unstructured data from Excel, CSV, PPTs, Confluence, SharePoint, and scripts.
  • Define and maintain data schemas, metadata, versioning, and lineage to ensure traceability and consistency.
  • Build and manage robust ETL / ELT pipelines with validation, error handling, and refresh cadence.
  • Ensure historical tracking, data correctness, and long-term scalability of analytics systems.
  • Collaborate with PnP engineers, architects, and program managers to translate engineering metrics into structured datasets.
  • Enable downstream analytics and dashboards by delivering clean, reliable, and well-documented data
  • Act as a technical owner, making architectural trade-offs and driving best practices across teams.

Basic Requirements

  • Ability to design databases and perform data engineering tasks.
  • Demonstrate advanced skills in SQL together with expertise in PostgreSQL and MySQL and SQL Server databases.
  • Experience in developing and operating data pipelines which handle both structured and semi-structured data types.
  • Strong data modeling abilities together with complete knowledge about the entire data lifecycle process.
  • Demonstrates the capability to handle disorganized and outdated and unformatted engineering information.
  • Ability to solve problems independently while maintaining complete accuracy of data.

Preferred Qualifications

  • Demonstrate experience with dashboarding or visualization tools like Power BI and Tableau and Grafana and Looker.
  • Expertise in Python which he uses for automation and data ingestion through scripting.
  • Experience with both cloud-based and scalable data platforms.
  • Demonstrates knowledge of version control methods together with data documentation and reproducibility standards.

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