Manager, IT Data Engineering - L'Oreal Information Technology

At L'Oréal, our ambition is to become the #1 BeautyTech company, meaning inventing the beauty of the future while becoming the company of the future. The role will be responsible for a Senior Data Engineer across broad portfolio of applications with Digital Marketing, CRM, eCommerce and enterprise data assets. The role sits with the Data & Analytics group, It is a critical role to enable the future of Omni Retail products and the seamless integration of data and analytical solutions across platforms. This role will provide leadership via mentoring and partnership with other architects and data stewards in the organization. As part of our Digital Transformation roadmap, we are designing and implementing the next generation of advanced and flexible tech products to enable business growth across multi-channel commerce and marketing by leveraging a thorough understanding of 1P/3P selling and optimization of aspects like Order Management, Media, content management and Supply Chain. The individual in this role must demonstrate creatively, foresight and mature judgement as they anticipate and solve complex business problems. The position is challenged to identify problems quickly and correctly which otherwise elude. Projects typically would include multiple application solutions, multiple digital technologies across various architectures. The person in the role will solve the problems with the best course of action within the departmental guidelines from existing solutions and works independently. The individual communicates for needed investments and architectural changes or business needs is critical to ensure solutions can be created to meet the strategic business capability needs.

• Understand business priorities and success measures to design and implement the right data solutions.
• Have a strong hand on experience in Data Engineering and displays eminence in modern data architectures across the organization.
• Lead architecture design, define and implement end-to-end modern data platforms in support of AI and analytics use cases.
• Creates robust and automated pipelines in GCP to ingest and process structured and unstructured data from source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset and DBT.
• Collaborate with data architects, ETL developers, engineers, BI developers/data scientists, and information designers to identify and define required data structures, formats, pipelines, metadata, and workload orchestration capabilities.
• Be instrumental in growing and mentoring a pool of talented Data Transformation practitioners.
• Provide thought leadership and new perspectives on how to leverage GCP cloud services and capabilities.
• Initiate and deliver strategic roadmaps and gain commitment for enterprise level architecture
• Maintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical community.
• Perform role of counselor and coach; provide input and guidance into the resourcing process; actively participate in hiring and retention activities.

What We Are Looking For: 

Required Qualifications: 

What’s In It For You: 

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles! 

We are an Equal Opportunity Employer and take pride in a diverse environment. We would love to find out more about you as a candidate and do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status. 

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