Lead Data Platform
Ankorstore - Paris, Ile-de-France, France
Posted May 20, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Lead Data Platform Paris, Ile-de-France, France About us Ankorstore exists to help independent brands and retailers thrive by making wholesale simpler, faster, and more profitable. We're building the infrastructure that powers modern wholesale for brands - from getting discovered by the right retailers to ordering, logistics, and financing - so both sides can work together on better, more sustainable terms. The Lead Data Platform is a pivotal leadership role responsible for the architecture, reliability, and strategic direction of our data infrastructure. You will lead a hybrid team of Data Engineers and Analytics Engineers to build a world-class Modern Data Stack. Your mission is to bridge the gap between raw infrastructure and business intelligence, ensuring that data is not only ingested and transformed efficiently via BigQuery, Airflow, and dbt, but also made actionable through advanced visualization in Sigma Computing and product insights in Amplitude. Main Responsibilities : - Team Leadership : Recruit, mentor, and manage a high-performing team of Data Engineers and Analytics Engineers, fostering a culture of technical excellence and continuous delivery. - Platform Architecture : Own the end-to-end data lifecycle, from ingestion and orchestration (Airflow) to storage (BigQuery) and modeling (DBT). - Data Democratization: Drive the adoption of Sigma Computing (BI) and Amplitude (Product Analytics), ensuring stakeholders have self-serve access to clean, reliable data. Partner with Product, Engineering, and Finance to ensure analytics needs are supported. - Strategy & Roadmap : Define the technical vision for the data platform, aligning infrastructure investments with company-wide business objectives. - Governance &
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