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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.
Skills Required
- 10-15 years of experience in Data/AI projects
- Expert-level knowledge of PySpark and Databricks
- Proficiency in Azure services
- Mastery of Data Modeling and Data Warehousing
- Strong experience with Cloud Computing principles
- Prior lead experience in Data or AI product development
Michelin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Michelin and has not been reviewed or approved by Michelin.
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Healthcare Strength — Healthcare access is described as broad, including medical, prescription, dental, mental/behavioral health support, and disability and life insurance coverage. Global baseline protections also emphasize healthcare coverage for employees and families.
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Retirement Support — Retirement support is characterized as strong, with a 401(k) plus additional retirement components referenced alongside profit sharing in the overall package. Financial benefits are framed as a meaningful part of total rewards beyond base salary.
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Parental & Family Support — Parental and family support is positioned as a notable strength through global minimum paid maternity/adoption and paternity/adoption leave, plus survivor benefits tied to salary and education support for children. Additional family-oriented benefits such as adoption assistance are also included in the package.
Michelin Insights
What We Do
Michelin, the leading tire company, is dedicated to sustainably improving the mobility of goods and people by manufacturing and marketing tires and services for every type of vehicle, including airplanes, automobiles, bicycles/motorcycles, earthmovers, farm equipment and trucks. It also offers digital mobility support services and publishes travel guides, hotel and restaurant guides, maps and road atlases. Headquartered in Clermont-Ferrand, France, Michelin is present in more than 170 countries, has 111,200 employees and operates 67 production plants in 17 different countries. Michelin has a Technology Center in charge of research and development, with operations in Europe, North America and Asia. In short, whether you look at our mission, our products or our people, Michelin is a company that truly helps you to move forward....
