Cloud Data Architect (Azure) @ Future Processing in Future Processing

We are looking for you if:

• you have at least 5 years of experience in IT, including min. 3.5 years in working with cloud data (confirmed by commercial projects implemented in production) and min. one year of work as a Lead Developer/Architect or similar,
• you have knowledge of Data services in Azure (mainly: ADF, Data Lake, Azure SQL Server, Synapse, Power BI) ,
• you know Databricks very well, with particular emphasis on the latest functionalities of this platform (e.g. Delta Live Tables and Unity Catalog),
• you know the tools, mechanisms and processes, i.e. CI/CD, Azure DevOps, Git,
• you can create and modify data models and select the appropriate model for the problem being solved ( DWH, Data Marts, Data Lake, Delta Lake, Data Lakehouse ),
• Lambda and Kappa architectures hold no secrets from you,
• you know how to build data analysis solutions in the "near to real time" mode, < /li>
• monitoring, diagnostics and troubleshooting in the cloud is not a problem for you and you know well how to plan infrastructure and calculate its cost,
• you have knowledge about migrating on-premise solutions to the cloud and you know the basic types of migration,
• you know how to use mechanisms related to secure storage and processing of data in the cloud,
• you are characterized by strategic and analytical thinking as well as good self-organization of work, independence, adaptability, communication skills and proactivity,
• you have the ability to mentor and train people with less experience and conduct activities aimed at supporting their development,
• giving presentations and lectures during industry events keeps you awake at night,
• you are open to business trips,
• you speak English at an advanced level, min. C1.

We are looking for you if:

• you have at least 5 years of experience in IT, including min. 3.5 years in working with cloud data (confirmed by commercial projects implemented in production) and min. one year of work as a Lead Developer/Architect or similar,
• you have knowledge of Data services in Azure (mainly: ADF, Data Lake, Azure SQL Server, Synapse, Power BI) ,
• you know Databricks very well, with particular emphasis on the latest functionalities of this platform (e.g. Delta Live Tables and Unity Catalog),
• you know the tools, mechanisms and processes, i.e. CI/CD, Azure DevOps, Git,
• you can create and modify data models and select the appropriate model for the problem being solved ( DWH, Data Marts, Data Lake, Delta Lake, Data Lakehouse ),
• Lambda and Kappa architectures hold no secrets from you,
• you know how to build data analysis solutions in the "near to real time" mode, < /li>
• monitoring, diagnostics and troubleshooting in the cloud is not a problem for you and you know well how to plan infrastructure and calculate its cost,
• you have knowledge about migrating on-premise solutions to the cloud and you know the basic types of migration,
• you know how to use mechanisms related to secure storage and processing of data in the cloud,
• you are characterized by strategic and analytical thinking and good self-organization of work, independence, adaptability, communicativeness and proactivity,
• you have the ability to mentor and train people with less experience and conduct activities aimed at supporting their development,
• giving presentations and lectures during industry events does not keep you awake at night,
• you are open to trips business,
• you speak English at an advanced level, min. C1.

[supporting the client in making key and strategic technological decisions in the area of ​​Data, research and development work in the field of analyzing the functionality and usefulness of new technologies and tools in the client's business solutions, , regular contact with decision-makers in the Data area on the client's side (VP, IT Director), creating a PoC in the Data area to present the results of R&D work, cooperation with other team members on implementing the latest cloud solutions for the client's strategic projects, design and creation of the entire data processing platform, taking into account all its parts and connections with other solutions (for example BI and ML), taking into account the cloud ecosystem, comprehensive management of the process of creating Big Data solutions: from the analysis of business requirements, through the design of technical architecture to testing and implementation, to creating data flow documentation, optimizing overall solutions/systems for data storage and analysis, understanding business requirements and translating them into designed solutions, maintaining relationships with the technical team on the client's side, cooperation with the team leader in setting expectations and development team members, coordinating the work of engineers involved in creating the solution, supervising the entire project from start to finish, very good cooperation with other architects and developers, creating technical documentation ensuring the development of cloud data processing systems, active participation in creating the image and offer of Data Solutions and conducting sales activities, showing initiative and engaging in knowledge exchange and process optimization processes within the organization, showing initiative in the development of competences of all members of the Data Solutions business line, involvement in the development of the Data Solutions business line (acquisition of employees, customers, clients]

Requirements: Azure, Databricks