Data Arhitect

About Inetum, Positive digital flow:

Inetum is an IT services company that provides digital services and solutions and a global group that helps companies and institutions to get the most out of digital flow. The Inetum group is committed towards all these players to innovate, continue to adapt and stay ahead. With its multi-expert profile, Inetum offers its clients a unique combination of proximity, a sectorial organization and solutions of industrial quality. Operating in more than 26 countries, the Group has nearly 27,000 employees and in 2020 generated revenues of €1,965 billion.

Inetum Romania is an important player in the IT services and solutions market in our country, with over 15 years of activity. It is a stable, growing and profitable company with over 500 employees who provides IT consulting services, infrastructure and software development assistance, digital services implementation and support.

In an Agile format, our teams work on cloud initiatives, application development, business intelligence, automation and digitalization projects that contribute to the profit and evolution of our clients. The diversity of our projects offers team members the opportunity for learning and growth. The company had a turnover of 20 million EURO in 2021.

• Strong background in data architecture including expertise with data modelling, database design, and data management techniques and models including:

- Data warehousing / data marts
- Data mining and BI tools
- ETL and ETL tools (e.g. Informatica).
- Conceptual, logical and physical data modelling with ERDs (e.g., PowerDesigner)
- Familiarity with object modelling in UML.
- Data quality and profiling tools

• Knowledge of an enterprise-scale SDLC.
• Solution architecture, including patterns, processes, techniques and tools (e.g. Sparx EA).
• Strong verbal and written communication skills.

• Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements and aligns with enterprise strategy and related business architecture

• Organizes data at the macro level (i.e. which subject areas are managed in which golden sources)

• Organizes data at the micro level for a new applications by analyzing, designing and building dimensional and relational data models and logical data specifications.

• Documents the data flow processing and architecture from the data sources through ETL processing to staging areas and through ingestion into the back end databases that drive the platforms.

• Designs, develops, updates and maintains ETL specifications and documentation used to develop data migration mappings and transformations for Data Warehouse loading.

• Recommends and implements data validation and data quality enhancements for the organization.