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Job Description:
Own architectural decisions (ADRs), reference blueprints, and target-state designs; arbitrate trade-offs on latency, cost, and scalability.
Architect end-to-end data and AI solutions: medallion Lakehouse (Bronze/Silver/Gold) on ADLS Gen2 + Delta Lake, streaming ingestion, ML deployment pipelines.
Optimize large-scale PySpark/Databricks workloads — partitioning, AQE, skew handling, Photon, cluster tuning.
Design data models across PostgreSQL, nowflake (Kimball, Data Vault 2.0, denormalized serving).
Productionize ML/DL models via Azure ML, AKS, Functions; expose FastAPI endpoints for batch and real-time inference.
Enforce security and compliance — Entra ID, Key Vault, PII, Unity Catalog / Purview, GDPR.
Build CI/CD and MLOps pipelines (Azure DevOps, Terraform/Bicep, MLflow); instrument observability.
Data Modeling Architecture/Design must also be done by Data and AI Solution Architect
This typically includes STAR SCHEMA Design, Normalization/Denormalization Data Patterns, etc.
Ability to evaluate and recommend which platform component would be best fit for given requirement.
Example: Decide between Postgres Db/Mongo Db, Decide between ODAP/One System Platform, etc.
Implementation of Continuous Architecture
Know how about BI domain + AI domains (NLP, GEN A, RAG, Forecasting, Computer Vision, Agentic AI, LLM) average or above average knowledge of concepts and internal technicalities.
Coach delivery teams, align with Data Science, Product, QA, and Platform leads, and contribute to the CDO's data policy.
Operate hands-on when needed — ingestion, cleansing, validation, repository design, root-cause analysis.
Must-Have
Advanced Python, PySpark, SQL
Expert in Databricks, Delta Lake, Spark Structured Streaming
Strong Azure stack: ADLS Gen2, ADF, Synapse, Azure ML, AKS, Event Hubs, Key Vault
Proven design of medallion Lakehouse architectures at TB–PB scale
Deep DB expertise: PostgreSQL, Synapse, Snowflake, ADLS
ML/DL fluency: scikit-learn, TensorFlow, PyTorch, MLflow
Hands-on PII/GDPR data handling and cloud security
CI/CD & MLOps: Azure DevOps or GitHub Actions, Terraform/Bicep, Docker, Kubernetes
Skills Required
- Advanced Python, PySpark, and SQL skills
- Expertise in Databricks, Delta Lake, and Spark Structured Streaming
- Strong Azure experience with ADLS Gen2, ADF, Synapse, Azure ML, AKS, Event Hubs, and Key Vault
- Experience designing medallion Lakehouse architectures at TB-to-PB scale
- Deep database expertise with PostgreSQL, Synapse, Snowflake, and ADLS
- Fluency in machine learning and deep learning, including scikit-learn, TensorFlow, PyTorch, and MLflow
- Hands-on experience with PII/GDPR data handling and cloud security
- CI/CD and MLOps experience with Azure DevOps or GitHub Actions, Terraform/Bicep, Docker, and Kubernetes
- 10–15 years of experience in data architecture, data engineering, or data science
- Demonstrated delivery of at least one enterprise Lakehouse solution and one production AI/ML solution
- Experience with Azure OpenAI, AI Search, RAG, or vector databases
- Experience with IoT ingestion patterns
- Data Mesh or federated governance experience
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....
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