Data Architect in MSV Multicall

Main tasks:

Design and develop scalable and high-performance data architectures based on business requirements.

Implementing and managing data lakes to efficiently store and process large amounts of data.

Leveraging Microsoft Azure services to deploy and manage cloud-based data solutions.

Using Databricks to process and analyze data at scale.

Developed and implemented dashboards and reports in Power BI to visualize and analyze business data.

Integration and application of AI technologies to optimize data processes and gain deeper insights.

Ensuring data quality, security and governance across all systems and processes.

Collaborate with interdisciplinary teams to align data strategies with business goals.

Requirements:

Proven experience as a data architect, preferably in a freelance role.

In-depth knowledge of Power BI, Microsoft Azure, cloud technologies, data lakes and Databricks.

Experience in applying AI technologies for data analysis and process optimization.

Knowledge of Azure Fabric is an advantage.

Strong analytical and problem-solving skills.

Excellent communication skills and the ability to communicate complex technical concepts in an understandable manner.

Self-motivated and able to work independently and in a team.

Nice to have:

Certifications in relevant technologies such as Microsoft Azure, Power BI, etc.

Experience with other cloud platforms and services.

Knowledge of other data analysis and visualization tools.