Data Architect

We are seeking a highly skilled and motivated Data Architect or a systems engineer or similar with an emphasis on SAP data architecture. The ideal candidate should possess a strong understanding of database design principles, experience in implementing efficient data management solutions, and advanced technical skills. The Data Architect will be responsible for designing, developing, and implementing robust data architectures that meet business needs and ensure the integrity, availability, and security of data.

Responsibilities:

1. Design systems that allow handling massive amounts of data, taking into account its volume and veracity.
2. Create models that respond to the technical needs of data analysis, including data flow, integrations, databases, and warehouses.
3. Run data modeling.
4. Organize data at all levels. Improve data structures.
5. Determine data flows to see which areas of a company generate data, which areas need it to function best, and how data is modified in the transition.
6. Ensure that the systems work can grow, and are secure.
7. Maintain data architecture.
8. Collaborate with development teams, business analysts, and other stakeholders to understand data requirements and translate them into effective architectural solutions.
9. Create and maintain conceptual, logical, and physical data models that support the operational and analytical needs of the organization.
10. Develop strategies for data management, including security, quality, integrity, and recovery.

Qualifications:

Minimum of 5 years of experience and the following knowledge:

1. Knowledge of Migration Workbench and Data Services. Solid knowledge of data modeling and conceptualization, optimization, and administration of databases.
2. Ability to discover patterns, anomalies, and relationships in data management.
3. Experience in predictive analytics, data visualization, and unstructured data.
4. Understand systems development.
5. ETL (Extract, Transform, and Load) is a method of automating the sets of instructions necessary to move and transform data.
6. OLAP (OnLine Analytical Processing) information cubes, which allow the most efficient use of data warehouses when performing online analysis.
7. Good communication to collaborate with other professionals.
8. Analysis and problem-solving skills.
9. Strategic vision.
10. Reliability and discretion since you can access sensitive information.
11. Attention to detail.
12. Functions of a data architect.