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Michelin

Technical Lead - Data Engineering

10-15 Years
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Job Description

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Job Title: Technical Lead – Data & AI Delivery

Experience: 10–15 Years

Role Type: Technical Leadership & Delivery Management

Role Objective

  • We are seeking a high-caliber Technical Lead to spearhead the delivery of complex Data and AI projects.
  • You will convert strategic AI roadmaps into scalable production realities by blending expert data engineering with the precision and discipline of modern software engineering.

Key Responsibilities

  • Strategic Delivery Management: Lead the end-to-end lifecycle of Data/AI projects, translating business goals into actionable technical roadmaps and AI strategies.
  • Architectural Excellence: Design and implement Medallion Data Lake architectures on Azure, ensuring seamless integration of structured and unstructured data.
  • Hands-on Optimization: Act as the subject matter expert in PySpark and Databricks, directly overseeing the optimization of high-performance data pipelines and ETL/ELT patterns.
  • AI Integration: Collaborate with Data Scientists to integrate models into production environments, ensuring smooth model operations and deployment.
  • Governance & Security: Enforce strict data security and compliance standards.
  • Technical Leadership: Guide a cross-functional squad of engineers and scientists through complex technical roadblocks, fostering a culture of excellence and continuous learning.

Technical Skills & Qualifications

Core Tech Stack (Must-Have)

  • Languages: Expert-level PySpark, Databricks, Python, SQL.
  • Expertise in Azure (Azure Data Factory, Databricks, Azure Storage).
  • Data Architecture: Mastery of Data Modeling, Data Warehousing, and Medallion (Bronze/Silver/Gold) patterns.
  •  Good understanding on Data Ingestion Frameworks and practices.
  •   Databases: Snowflake, Azure Datalake , Lakehouse delta lake
  •   Understanding of LLM framework will be a plus.

AI & Machine Learning Big Plus:

  • Proficiency in ML/DL frameworks and the development-to-deployment lifecycle.
  • Strong experience integrating AI models with Spark-based data processing.
  •   Experience on integration with LLM models and storage will be plus.

      

Integration & Infrastructure

  • Strong understanding of Cloud Computing and Azur services.

Soft Skills & Leadership

  • Communication: Ability to articulate complex technical concepts to both engineering teams and non-technical stakeholders.
  • Problem-Solving: A strategic thinker with a proven track record of resolving architectural bottlenecks.
  • Collaborative Leadership: Ability to motivate teams and drive initiatives forward within a fast-paced corporate environment.
  • Industry Awareness: Proactive engagement with emerging trends in Data Engineering, Generative AI, and Cloud Architecture.
  • Continuous Learning.

Preferred Experience

  • Prior experience in a lead or co-lead role for Data or AI product development .
  •   Proven expertise in handling large-scale migrations to Azure-native data stacks.

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About Company

Job ID: 148984683

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Pune, India

Skills:

GithubAdfData ModelingSqlDatabricksDaxPythonEtlAzure DevOpsCI CDSynapseADLSAzure servicesELT pipelinesMS FabricLakehouse architecture