Gathering Business and Technical requirements from our clients' stakeholders
Identifying areas for improvement in current data management platforms
Designing our clients' data management platform: Identification of all data functionalities that need to be implemented (Data Load Processes, DWH, Data Lake, Data Visualization…)
Defining a reference architecture framework: standards and principles, modeling, metadata, master data
Identify/benchmark tools to meet the requirements of the data platform (e.g. Cloud components, ETL, Data Visualization tools…)
Providing secure, stable, scalable, and cost-effective solutions to facilitate data storage, integration, usage and access
Formalizing and presenting data architecture design reports
Coordinating with other team members to reach project milestones and deadlines
Communicating and supporting the use of the data architecture to all stakeholders (Business & IT)
Profile
Master's in Computer Science, Engineering, or any related field
5+ years hands on experience in Data Engineering and Data Architecture
Good knowledge of several tools in the following: Cloud (AWS, Azure, GCP), ETL, Big Data (Hadoop…), Snowflake, Data visualization (Tableau, PowerBI..)
Excellent communication skills, creative thinking, Team player, ability to work in an Agile environment