Lead Data Platform

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• 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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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

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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