Senior Principal Data Engineer _ Gen AI

14 - 20 years

30 - 45 Lacs

Posted:None| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: Senior Principal Data Engineer

Location: Gurgaon, Bangalore

Work Schedule:

Job Type: Full-Time

Position Overview:

Senior Principal Data Engineer

Key Responsibilities:

  • Architect Generative AI solutions using AWS services:

    Bedrock

    ,

    SageMaker

    ,

    Kendra

    ,

    S3

    ,

    PGVector.

  • Lead end-to-end solution design for

    AI/ML

    initiatives and complex data systems.
  • Collaborate with cross-functional teams (onshore and offshore) to implement solutions.
  • Conduct technical reviews, guide developers, and ensure code quality and best practices.
  • Navigate and manage governance and architectural approval processes.
  • Present solutions and provide technical advice to senior leadership and

    stakeholders

    .
  • Mentor junior engineers and promote a culture of innovation and continuous learning.
  • Evaluate and integrate emerging technologies like

    LangChain

    .
  • Work closely with data scientists and data analysts to optimize model performance and data usage.
  • Design and implement

    ETL pipelines

    , data flows, and support diverse data types (structured/unstructured).
  • Lead technical workshops, documentation, and architecture planning.

Required Qualifications:

  • 12-15 years of experience in software engineering, data architecture, and solution design.
  • Proven track record in building and deploying AI/ML, analytics, and data-driven platforms.

  • Expert-level knowledge of AWS services:
    • Bedrock

    • SageMaker

    • Kendra

    • S3

    • PGVector

  • Strong hands-on experience in

    Python (primary), with additional skills in Java or Scala.

  • Deep understanding of data structures, algorithms, and software design patterns.
  • Strong background in data pipelines, ETL, and working with structured, semi-structured, and unstructured data.
  • Familiarity with DevOps, CI/CD pipelines, and infrastructure-as-code principles.
  • Awareness of AI ethics, bias mitigation, and responsible AI frameworks.
  • Experience with tools/frameworks like LangChain is highly desirable.

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