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Database Architect F/H

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

Lenstra is seeking a highly motivated Data Architect to join our team. As a Data Architect, you will play a crucial role in shaping the data platform roadmap and ensuring that data teams adhere to the data strategy.

Key responsibilities include:

  • Participating in shaping the client's data platform roadmap
  • Providing expertise in data architectures and data platforms to assist stakeholders
  • Helping define policies to ensure data teams deliver data products respecting key standards and quality
  • Supporting data teams in their delivery, ensuring technical coherence of Data Products built across the organization
  • Collaborating closely with Privacy, Security, and Legal teams to exchange on requirements and enforce compliance with data governance, privacy regulations, and security policies
  • Fostering and animating the technical community by facilitating workshops, knowledge sharing, and best practices dissemination
  • Staying up-to-date with the latest technologies and tools in data engineering and contributing to the growth of Lenstra's analytics capabilities

Requirements include:

  • 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
  • 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

Our recruitment process consists of 4 interviews:

  • 1 introductory call with the recruiter
  • 1 technical interview with our CTO
  • 1 behavioral interview with one of the partners
  • 1 final discussion with the client

We welcome both freelancers and full-time employees in our teams. What is essential to us is that you have a strong commitment to learn and can demonstrate an outstanding level of proficiency in the techniques you have practiced.

Lenstra's core purpose is to provide its team members with opportunities to grow. We help you grow with challenging projects, teamwork with exceptional individuals, and training thanks to our partner's learning programs. Depending on how you want to grow, we offer two different growth tracks:

Product Ownership

We empower you to take on challenging projects that will equip you with the skills and expertise needed to become a visionary product leader. You will have the opportunity to work on projects that blend complex technical obstacles with crucial strategic discussions with top-level executives, allowing you to gain valuable experience and knowledge in shaping the foundations of IT.

Technical Mastery

We will provide you with complex technical problems that will require your full attention and focus. These challenges will help you expand your expertise in the technologies of your choice and deepen your understanding of their intricacies.