Sephora Senior Engineer, Marketing Technology

About Sephora

Sephora is a global beauty retailer known for a broad portfolio of prestige cosmetics, skincare and fragrance brands. As part of the LVMH group, Sephora combines retail innovation with strong brand partnerships, investing in digital platforms and data-driven experiences to elevate customer engagement across stores and online.

Role & Responsibilities

• Design and deliver enterprise MarTech solutions end-to-end, partnering with product, marketing, technology teams and external vendors to meet business requirements on time and at scale.
• Architect and build scalable data infrastructure to support batch and real‑time ingestion into a centralized Data Lake and downstream analytics.
• Develop and maintain ETL/ELT pipelines and implement engineering best practices for reliable data integration and transformation.
• Collaborate with marketing stakeholders to operationalize campaign data, CRM integrations and cross-cloud solutions on GCP/GMP with Azure integrations.
• Coordinate cross-functional delivery, manage deploy activities, and provide post-release support and fixes while maintaining rigorous quality controls.

Qualifications

• 7+ years working on large-scale data warehouse or data engineering projects with demonstrable full‑stack engineering fundamentals.
• Proven experience with ETL tools and data integration (e.g., Informatica, Pentaho, Data Stage) and building production data pipelines.
• Practical experience applying supervised and unsupervised machine learning techniques and leveraging ML-as-a-Service offerings.
• Demonstrated use of AI-augmented engineering tools (e.g., GitHub Copilot, Claude/Claude Code) and experience defining reusable prompts, standards, and governance for AI-assisted development.
• Strong communication skills and proven ability to coordinate across DBAs, data analysts, product owners and senior stakeholders.

Skills

Experience

Minimum of seven years delivering large-scale data warehouse and integration projects, with hands-on experience in production ETL, cloud data platforms (GCP and Azure), machine learning models, and AI-augmented development practices.

Education

Bachelor’s degree in Computer Science, Engineering, Data Science or a related technical discipline; advanced degree preferred or equivalent industry experience.

Workplace

Compensation

The base compensation for this position ranges from USD 155,070 to USD 170,300 per annum.

Benefits

Medical, dental and vision coverage; employer‑paid disability and life insurance; 401(k) with 4% match; FSA and HSA options; Student Debt Retirement program that qualifies for 401(k) match; PTO, flexible and protected leave; training and tuition reimbursement; 30% employee discount, occasional free product/gratis and LVMH flash sale discounts; mental health and financial coaching via Modern Health and Financial Finesse; volunteer and donation matching.

Culture

Sephora fosters an inclusive, fast‑moving culture that values creativity, diversity and customer obsession. As part of LVMH, the workplace balances entrepreneurial agility with the resources of a global luxury group, encouraging cross‑disciplinary collaboration and career growth.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.