CDI – Tech Lead Databricks - Mode (H/F/X)
CHANEL · Paris, Île-de-France, France
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- On site
- Full-time
- €90,000 / year
- Paris, Île-de-France, France
Job highlights
- Lead Databricks Data & AI platform for Fashion.
- Design, implement, and optimize data pipelines.
- Ensure data quality and governance.
- Collaborate on cloud infrastructure (Azure).
- Drive innovation in Data and AI.
About the role
About the Fashion Division at Chanel
The Fashion division is the original business of the Brand. Two Haute Couture collections, six seasonal Ready-to-Wear and accessories collections, and two capsule collections inspired by sportswear and lifestyle (Coco Beach and Coco Neige) offer a style that captures the zeitgeist and fits into women's daily lives. A silhouette in motion and accessories are essential components of CHANEL's allure and the brand's timeless codes, immediately identifiable, imagined by Gabrielle Chanel.
Your Impact at Chanel
The Chanel Fashion Information Systems Department is a strategic partner for excellence and value creation in Fashion. Its ambition is to support daily activities and the evolution of Fashion's market positioning through ultra-high-performance, innovative information systems that meet both:
- Service quality and efficiency requirements, mirroring the excellence of our products and our ultimate luxury customer experience.
- The exceptional pace of collections (10 per year).
To achieve this, the DSI CHANEL Fashion teams must demonstrate reactivity, agility, astuteness, pragmatism, anticipation, strategic vision, and a keen understanding of business challenges to support the uniqueness of our operational model.
Your Missions and Activities
You will join the Data Technology team, at the heart of the Data and AI transformation of one of the Maison's most emblematic activities. Within the Business Performance & Data Management team, the Data Technology team is responsible for the deployment, administration, and configuration of the various functionalities of the CHANEL Fashion Division's Datahub. The team also oversees the development and deployment (CI/CD) of generic custom assets developed within this platform (ingestion framework, quality framework, apps, gen AI services, etc.). The platform relies on Databricks and Microsoft Fabric technologies. In a context of accelerating Data and AI usage, we are strengthening the use of new functionalities offered by Databricks technology (Unity Catalog, Genie Space, LakeFlow Connect, serverless compute, Lakebase, apps, etc.) while leveraging the data exposure capabilities offered by Microsoft Fabric. The quality of the design, implementation of services, and developments carried out is the strategic foundation necessary for deploying reliable, industrialized Artificial Intelligence solutions with high business value. You will directly participate in building a modern Data & AI Platform within the CHANEL Fashion Division, which must accelerate value creation.
Reporting to the Data Technology Director within the Business Performance & Data Management team in the Fashion Tech direction, your missions will focus on the following areas:
- Establishment of Patterns & Standards: Participate in design workshops and the development of data architectures. Design and implement data ingestion, extraction, and processing flows and processes (batch or real-time), including collection, cleaning, organization, and modeling to effectively feed the Data Lake. Industrialize, optimize, define, and provide monitoring tools for data pipelines and their deployment. Test and validate various patterns before industrialization.
- Infrastructure Evolution: Participate in infrastructure evolution workshops based on different needs. Follow and apply company processes to engage the right stakeholders (Network, Security, Infra, Division, or Corporate). Ensure seamless interoperability between the Databricks platform and the Microsoft Fabric sharing and exposure layer. Implement exposure and visualization systems while fostering innovation and selecting the best solution according to usage. Adopt innovative tools, particularly around data, cloud, and artificial intelligence, to stay at the forefront of usage and bring ever more value to our clients. Train and technically advance team members. Document implemented patterns & processes. Organize code reviews with developers and ensure software quality on the project.
- Platform Administration: With the support of your Manager, implement good governance within the solution: Define/evolve access matrix according to personas. Activate features and establish policies within the platforms. Maintain/evolve monitoring tools (jobs, FinOps). Optimize resource usage. Contribute to defining Self-Service BI uses.
Technical Environment
You will work in a modern environment:
- Cloud: Microsoft Azure
- Data Platform: Databricks / Microsoft Fabric
- Languages: SQL, Python, Pyspark, Terraform, REST
- DevOps: Git, CI/CD
What You Will Bring
- Education: Master's degree (Bac+5) from an engineering school or a Master's in Data/IT/AI.
- Technical Skills: Advanced user / Expert in Databricks (5+ years of experience). 7 to 10 years of experience in data: engineering, DevOps. Mastery of Data/Cloud architectures. Good understanding of GEN AI usage models. Ability to design and deploy application governance.
- Personal Qualities: Analytical mindset, Rigor/Organization, Passion for technology, Innovative spirit.
What Excites You & What CHANEL Can Offer You
The independence of a creative House that places people at its center. The dynamism of an environment that cultivates excellence while promoting the fulfillment of all. Opportunities for evolution, growth, and multiple career paths within a House attentive to each individual's uniqueness.
The richness of our teams stems from each individual's uniqueness. CHANEL values diversity in all its forms and is committed to treating every application fairly. During your first interview, we will inform you about the stages of the process.
THE MAISON CHANEL
Founded by Gabrielle Chanel in the early last century, CHANEL offers a wide range of high-end creations, including Haute Couture, Ready-to-Wear, leather goods, accessories, eyewear, fragrances, cosmetics, skincare, fine jewelry, and watches. CHANEL is also renowned for acquiring a significant number of specialized suppliers, manufacturers, and Métiers d’art, eleven of which are located at 19M, between Paris and Aubervilliers. Dedicated to ultimate luxury, CHANEL strives to offer exceptional craftsmanship. The Brand historically places Creation at the core of its fundamental values.
Key skills/competency
- Databricks
- Data Engineering
- DevOps
- Microsoft Azure
- Microsoft Fabric
- Python
- SQL
- Gen AI
- Data Architecture
- CI/CD
Skills & topics
- Tech Lead Databricks
- Databricks
- Data Engineering
- DevOps
- Microsoft Azure
- Microsoft Fabric
- Python
- SQL
- Gen AI
- Data Architecture
- CI/CD
- Tech Lead
- Data Platform
- Cloud
- Paris
How to get hired
- Tailor your resume: Highlight Databricks, Azure, and Data Engineering expertise. Quantify achievements in data pipeline optimization and CI/CD implementation.
- Showcase technical skills: Emphasize your 5+ years of Databricks experience and 7-10 years in data engineering/DevOps. Mention Python, Pyspark, SQL, Terraform, and REST.
- Demonstrate understanding: Articulate your knowledge of Gen AI models, data architectures, and application governance in your application and interviews.
- Prepare for technical and behavioral questions: Be ready to discuss specific data architecture designs, pipeline optimization strategies, and how you foster innovation and teamwork.
- Research Chanel's values: Understand their commitment to excellence, creativity, and luxury to align your responses with their brand identity.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary technology stack for the Tech Lead Databricks role at Chanel?
- The primary technology stack for this Tech Lead Databricks position at Chanel includes Databricks and Microsoft Fabric on Microsoft Azure. You will be working with languages like SQL, Python, Pyspark, Terraform, and REST, utilizing DevOps practices with Git and CI/CD.
- What level of experience is required for the Tech Lead Databricks position at Chanel?
- Chanel is looking for an expert user/advanced user of Databricks with over 5 years of experience. Additionally, you should have between 7 to 10 years of experience in data engineering and DevOps, with a strong mastery of Data/Cloud architectures and a good understanding of GEN AI usage models.
- What are the key responsibilities of a Tech Lead Databricks at Chanel?
- Key responsibilities include establishing data patterns and standards, designing and implementing data ingestion and processing pipelines, industrializing and monitoring data pipelines, and administering the Databricks and Microsoft Fabric platforms. You will also ensure interoperability between these platforms and contribute to defining Self-Service BI uses.
- What kind of career growth opportunities does Chanel offer for a Tech Lead Databricks?
- Chanel offers opportunities for evolution, growth, and multiple career paths within the organization. They emphasize a dynamic environment that cultivates excellence and promotes individual fulfillment, attentive to each person's uniqueness.
- What is the work arrangement for the Tech Lead Databricks role at Chanel?
- The Tech Lead Databricks position is a permanent contract (CDI) based in Paris.
- How does Chanel approach diversity and inclusion for this Tech Lead Databricks role?
- Chanel values diversity in all its forms and is committed to treating every application fairly. They believe that the richness of their teams stems from each individual's uniqueness.
- What kind of projects will a Tech Lead Databricks work on at Chanel?
- You will work on building a modern Data & AI Platform within the CHANEL Fashion Division, focusing on accelerating value creation. This involves deploying new Databricks features, leveraging Microsoft Fabric, and ensuring the development of reliable, industrialized AI solutions.