Energy & Utilities | Data Architect

Company Description

At Devoteam, we hold the strong belief that technology, when intertwined with human values, can actively stimulate changes for the better. Explore how Tech for People paves the way for the future, making a positive impact on people and our surroundings. We are a top global player in Digital Transformation for leading organizations throughout EMEA, boasting a revenue of €652M. We are advocates for transforming technology into added value for our clients, partners, and employees in a world where technology is fabricated for people. We take pride in the culture we've cultivated collectively. We take pride in our personnel who serve technology. We take pride in our diverse setting. We stand as #TechforPeople. Collaborate with our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers, and other exceptional talents, present in over 18 EMEA countries. Become a part of our +8,000 tech and business leaders on cloud, data, and cyber security. Let's merge creativity and technology to construct innovative solutions that proactively promote improvement.

Job Description

• Design the data model and data architecture to fulfill qualitative requirements;
• Model business requirements including data streams, integrations (Schema API, CRUD API);
• Develop and implement reference data architectures in compliance with the requirements of the data management strategy;
• Formulate and implement a blueprint for an organizational data framework that defines how data is gathered, stored, consumed, integrated, and managed to enrich the company's Data Lakes, MDUs, and Data Marts.

Qualifications

• A Bachelor’s degree in the IT field or equivalent;
• Up to 10 years' experience;
• Understanding of the methodology and execution of architectural design reviews of analytical systems (Databases, Database replicas, Datalakes, and other storage systems, , CDC, Spark transformations);
• Experience in conceptualizing Data Efficiency programs to lower data duplication, simplify database replicas, streamline processes that materialize data in intermediate stages, increase the deployment of virtualization techniques, use of hot/cold/archive, methodologies for locating unused data (via lineage techniques), automatic pruning, lowering the resolution of time series in older periods, etc.