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Senior Director of Data Engineering

Il y a 2 mois

Paris, Île-de-France Publicis Sapient Temps plein
Job Description

Overview

We are seeking a highly experienced Senior Director of Data Engineering to lead our data engineering team and drive the development of our data architecture. As a key member of our organization, you will be responsible for executing data architecture assessments, defining and implementing data transformation strategies, and designing and delivering modern and enterprise-grade data platforms.

Key Responsibilities

  • Provide technical leadership and hands-on implementation in data techniques, including data ingestion, transformation, quality, modeling, and visualization.
  • Act as Technical Lead of a globally distributed team and manage functional and non-functional scope, quality, and timelines.
  • Help establish standard data practices and frameworks, such as data governance, quality, validation, security, and privacy.
  • Exhibit thought leadership and provide business and technical consulting to clients and mentorship to team members.

Requirements

  • 15+ years of IT experience with 8+ years in data-related technologies.
  • 3+ years of expertise in cloud-related data services (AWS, Azure, GCP).
  • Experience in leading data audits, defining data strategies, and providing consulting skills to clients.
  • Experience in leading technical architecture, design, and delivery of data solutions in production, at scale, based on modern solutions and stacks.
  • Expertise in data ingestion, distributed data processing, and programming languages (Java, Scala, Python).
  • Experience in NoSQL databases and use cases.
  • Deep understanding of Data Governance, Data Security, Data Cataloging, and Data Lineage concepts.
  • Good understanding of Continuous Integration and Continuous Delivery (CI/CD) using Cloud-based DevOps services or Jenkins/Bamboo.

Preferred Qualifications

  • Python notebook experience.
  • Data pipeline orchestration experience.
  • Knowledge of Kafka streaming.
  • Parquet storage and Apache Iceberg SQL formatting experience.
  • Containers, Docker, and Kubernetes Engine experience.
  • Distributed Messaging Queues (RabbitMQ, ActiveMQ) experience.
  • Data Security experience, including raw-level security, multi-tenancy patterns, column-based masking, filtering, minimization, anonymization/pseudonymization techniques.
  • One or more traditional ETL tools experience (Informatica, Talend).
  • Search/Indexing Technologies (Solr) experience.
  • Knowledge of Machine Learning.
  • Agile ways of working (Scrum/Kanban) experience.

Education

Master's/Bachelor's Degree in Computer Engineering, Computer Science, or a related field.