Lead Data Platform Engineer
3 weeks ago
About the Role:
We are seeking a highly skilled Lead Data Platform Engineer to join our team at Sephora. As a key member of our technology group, you will be responsible for driving ML initiatives for the enterprise and developing innovative solutions to help our customers discover products.
Key Responsibilities:
- Operationalize ML solutions and work alongside other team members to architect, design, build ML pipelines, and productionalize ML models.
- Implement end-to-end solutions for batch and real-time algorithms, along with tooling around monitoring, logging, automated testing, performance testing, and A/B testing.
- Collaborate with Product, Engineering, Data scientists, and Business teams on planning new capabilities.
- Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Contribute to and promote good software engineering practices across the team.
- Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
Requirements:
- University or advanced degree in engineering, computer science, mathematics, or a related field.
- ~5+ years of experience developing and deploying machine learning systems into production.
- ~8+ years of experience in Software engineering space.
- Experience working with a variety of relational SQL and NoSQL databases.
- Knowledge of cloud platforms, for example: Azure, AWS, or equivalent cloud platforms.
What We Offer:
Sephora offers a generous benefits package to full-time employees, which includes comprehensive health, dental, and vision plans; disability insurance; flexible spending accounts; and opportunities for training and development.
Sephora is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status.
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