Data Architect - Data Platforms

About Lenstra

Lenstra was created by the passion of engineers specialised in Computer Science with a proven history in delivering top quality solutions to its customers. Bringing together work excellence and vision we managed to serve top tier clients from a variety of industry domains like Banking/Insurance, Luxury and Tech.

We help our clients to solve their most difficult problems around Cloud Computing & DevOps, Data Platform, IT Security by having a holistic approach of their environment and building often complex but always relevant solutions to help them accelerate their business.

Our engineering team is committed to great ethics and most of our teammates are core contributors to OpenSource projects such as CPython, Postgres or Terraform.

About the role

Lenstra is currently helping multiple major companies (> 3 B$ revenue) setting up their self service Data Platforms. Our scope of work encompasses developing the Data Platform product vision taking into account our client’s strategic goals and existing technological environment, and then implementing the Data Platform including its deep integration with our client’s IT, security and legal requirements. The Data Platforms we help our clients build distribute the work on data across their organization. This increases the need for strong Data Architecture principles to be defined and enforced automatically, this is where our Data Architects play a crucial role.

In this context we are looking for passionate Data Architects to join our teams (freelancers welcome).

If you are a highly motivated individual with a passion for Data Architecture —both in defining the architecture of data platforms and in shaping how data is modeled— and are excited to spearhead the implementation of the cutting-edge Data Mesh framework in large, dynamic organizations, we encourage you to apply.

Location

Remote ok, monthly meetings in Paris 2-3 days each month.

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.

Skills needed for the role

• 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.

Application process

Please send at least your up-to-date resume at [email protected].

Our recruitment process consists in 4 interviews:

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

We are happy to provide any preparation support and answer to any of your questions so do not hesitate to apply or reach out.