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Data Architect

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Paris, Île-de-France Data Engineer - Lead - Data Platforms Temps plein
About the Role

We are seeking a highly skilled Data Architect to join our team at Lenstra. As a Data Architect, you will play a crucial role in shaping the data platform roadmap for our clients and providing expertise in data architectures and data platforms to assist stakeholders in adhering to the data strategy.

Key Responsibilities
  • Participate in shaping our clients' data platform roadmap.
  • Provide expertise in data architectures and data platforms to assist stakeholders at our clients to adhere to the data strategy.
  • Help define policies (enforced by Data Platform) to ensure that data teams at our clients deliver data (products) respecting key standards, and quality.
  • Support data teams at our clients in their delivery ensuring the technical coherence of Data Products built across the organization.
  • Collaborate closely with Privacy, Security, and Legal teams at our clients to exchange on requirements and enforce compliance with data governance, privacy regulations, and security policies across all data initiatives.
  • Foster and animate the technical community at our clients by facilitating workshops, knowledge sharing, and best practices dissemination.
  • Stay up to date with the latest technologies and tools in data engineering, and contribute to the growth of Lenstra's analytics capabilities.
Requirements
  • At least 5 years of experience in data architecture, with a focus on Big Data and Data platforms.
  • Proficiency in architecture design and implementation of technological bricks of Data platforms (collection, storage, processing, visualization).
  • Strong knowledge of data architectures and cloud environments, with certifications or experience in GCP, Azure, AWS, etc.
  • Experience with modern development processes and tools, including DevOps, Git, CI/CD pipelines, and tools like Jenkins, CircleCI, or GitLab.
  • Comfortable with Infrastructure as Code (IaC) tools like Terraform for managing cloud resources.
  • Experience deploying and managing data pipelines, data models, and other data applications in cloud environments.
  • Familiarity with security best practices and tools such as Vault for secrets management, encryption, and key management.
  • Skills in Python and familiarity with data engineering tools such as dbt or dataform.
  • Excellent analytical and problem-solving skills, with the ability to work on complex and ambiguous problems.
  • Strong skills in SQL with experience developing large scale data transformations in production.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment and manage multiple priorities.
What We Offer

We offer a dynamic and challenging work environment, with opportunities for growth and development. Our team is committed to delivering high-quality solutions to our clients, and we are looking for talented individuals who share our passion for data engineering and architecture.

We welcome both freelancers and full-time employees to our team. If you are a highly motivated and experienced Data Architect looking for a new challenge, we encourage you to apply.