Data Architect

Data Architect

The success of a company depends on the passionate people we partner with.

Together, let's share our talents.

As a global leader in animal health, Ceva Animal Health believes our success is linked to our passionate people researching, developing , producing and supplying innovative health solutions for all animals, which contributes to the future of our diverse planet.

We are committed to ensuring the highest possible level of care and well-being for farm animals (poultry, pigs, ruminants), companion animals (dogs and cats) and wildlife.

Indeed, Our “Together, Beyond Animal Health” vision emphasizes that the health and wellbeing of people, animals and our planet are totally interlinked. More than ever, Ceva is committed to a "One Health" approach.

Yourmissions :

As a Data Architect, you will lead by exampleand actively collaborate with global data teams, serving as a hands-onarchitect and technical expert. You will provide technical guidance andmentorship at all levels, supporting them with code reviews and technical designwhile ensuring that data solutions align with the needs of our customers. Yourrole will involve providing technical leadership for critical platforms,library, and data products development. You will play a key role in designingand building consensus for the implementation of libraries, frameworks, andprocesses that facilitate efficient data movement and management. You’ll designan end-to-end experience that solves real customer problems and prototyping,shipping, and iterating on deliverreusable, scalable, resilient and quality Data Products. Your advanceddevelopment skills will be crucial in problem-solving, debugging, and resolvingelusive bugs.

Job Responsibilities:

●Translating business requirements into data solutions, technical specifications, including data streams, integrations, transformations, reports, databases, and data warehouses
●Defining the data architecture framework, standards, and principles, including modeling, metadata, security, data governance, reference data such as product codes, and key master data.
●Working closely with external partners, vendors and internal data team to develop deep understanding of our data ecosystem.
●Defining and visualizing reference architecture, in a pattern others can easily follow to create and improve data systems.
●Defining data flows which parts of the organization generate data, which require data to function, how data flows are managed and how data changes in transition.
●Lead a small but growing team of data engineers.
●Collaborating and coordinating with multiple departments, stakeholders, partners, and external vendors
●Provide training and support documentation to business partners where needed.
●Be a cross functional leader charged with developing strategy for a critical product domain.
●Develop individual team members according to our core data competencies, enabling them to be autonomous in driving results.
●Monitor the performance of our data products and services with KPIs.

Yourprofile :

● Experience with complex data systems, cloud platforms, data platforms, Big Data, analytics, Advanced analytics AI/ML, Self Service. (Azure, GCP, Oracle, Data Lake, Data Bricks, Delta Lake, Talend, MicroStrategy, Power BI, )
● Experience in identifying and evaluating opportunities for improvement.
● System Development Life Cycle and Agile Methodology familiarity.
● Data Mesh and Data Product Management implementation.
● BA/BS in mathematics, statistics, computer science or other related field, or equivalent professional experience
● Advanced English is a must. Any other languages will be considered a plus.