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Strong employer brand, remote role, and common senior data engineer title increase candidate competition.
Data engineering skills transferable, but adtech and marketing API specialization narrows industry fit.
Explicit 7+ years requirement plus specific marketing API, GCP, and leadership must-have skills increase filtering.
Lead end-to-end delivery of scalable data and software solutions on L’Oréal’s Beauty Tech Data Platform with focus on technical excellence and innovation.
Design and implement large-scale data architectures on GCP, managing integrations with key advertising platforms (Meta, Google Ads, Amazon Ads APIs).
Mentor and lead data engineering teams, reviewing code, guiding technical decisions, and facilitating onboarding and ongoing training.
7+ years of full-stack development experience with high-volume data ingestion via third-party APIs.
Minimum 2 years of senior developer experience with mentoring and architectural decision responsibilities.
Strong expertise in Google Cloud Platform, REST APIs, SQL, noSQL databases, Git, CI/CD, Terraform, and automated testing.
Experience specifically with marketing/ad tech stacks and managing large-scale data pipelines; Work Experience Required: Explicitly stated as 7+ years, seniority of minimum 2 years in leadership roles.
Technical leader able to translate complex marketing business needs into scalable API-driven data architectures supporting KPIs.
Experienced in Agile environments with capabilities in risk management related to API limits and data privacy compliance.
Demonstrated ability to support product technical vision and manage cross-functional collaboration, especially between marketing and data teams.