Remote Cloud Data Architect (Azure)

Description:

• We are looking for a Cloud Data Architect with a minimum of 5 years of experience working with data in Azure cloud, confirmed by commercial projects implemented in production.
• The candidate should have experience in a Lead Developer/Architect role or similar.
• Knowledge of Azure Data services is essential, particularly ADF, Data Lake, Azure SQL Server, Synapse, and Power BI.
• A strong understanding of Databricks, especially its latest features such as Delta Live Tables and Unity Catalog, is required.
• Familiarity with tools, mechanisms, and processes such as CI/CD, Azure DevOps, and Git is necessary.
• The candidate must be able to create and modify data models and select the appropriate model for the problem being solved, including DWH, Data Marts, Data Lake, Delta Lake, and Data Lakehouse.
• Knowledge of Lambda and Kappa architectures is important.
• The ability to build solutions for data analysis in near real-time is required.
• Monitoring, diagnostics, and troubleshooting in the cloud should not be a problem, and the candidate should know how to plan infrastructure and calculate its costs.
• Knowledge of migrating on-premise solutions to the cloud and understanding basic types of migration is necessary.
• The candidate should know how to apply mechanisms related to the secure storage and processing of data in the cloud.
• Strategic and analytical thinking, good self-organization, independence, adaptability, communication skills, and proactivity are essential traits.
• The ability to mentor and train less experienced individuals and lead activities aimed at their developmental support is required.
• The candidate should be comfortable presenting at industry events.
• Willingness to travel for business is necessary.
• Proficiency in English at an advanced level (minimum C1) is required.

Requirements:

• A minimum of 5 years of experience working with data in Azure cloud, confirmed by commercial projects implemented in production.
• Experience in a Lead Developer/Architect role or similar is required.
• Knowledge of Azure Data services, particularly ADF, Data Lake, Azure SQL Server, Synapse, and Power BI is essential.
• Strong understanding of Databricks and its latest features is necessary.
• Familiarity with CI/CD, Azure DevOps, and Git is required.
• Ability to create and modify data models and select the appropriate model for the problem being solved is essential.
• Knowledge of Lambda and Kappa architectures is important.
• Ability to build near real-time data analysis solutions is required.
• Experience with monitoring, diagnostics, and troubleshooting in the cloud is necessary.
• Knowledge of migrating on-premise solutions to the cloud is required.
• Understanding of secure data storage and processing mechanisms in the cloud is essential.
• Strong strategic and analytical thinking, self-organization, independence, adaptability, communication skills, and proactivity are required.
• Ability to mentor and train less experienced individuals is necessary.
• Comfort with presenting at industry events is required.
• Willingness to travel for business is essential.
• Proficiency in English at an advanced level (minimum C1) is required.

Benefits:

• The position involves consulting solutions with clients, both existing and new, advising on the selection of technical solutions that are cost-effective and address the client's business problem.
• Participation in early-stage client meetings to pitch experience, processes, and technology approaches, as well as gathering and detailing requirements.
• Contribution to proposals, including architecture schematics and calculations for Total Cost of Ownership/Return on Investment/cloud costs using cloud provider calculators.
• Estimating project involvement and costs for data science representatives in the project.
• Building arguments to convince clients of our solutions and demonstrating advantages over alternative approaches.
• Participation in meetings presenting offers, answering client questions, and showcasing our solution components.
• Engaging in research and development activities to analyze the functionality and applicability of new technologies and tools in client business solutions.
• Regular contact with decision-makers in the client's Data area (VP, IT Director).
• Creating Proof of Concepts in the Data area to showcase results from R&D efforts.
• Designing and building the entire data processing platform, considering all its components and connections with other solutions (e.g., BI and ML) within the cloud ecosystem.
• Optimizing overall data storage and analysis solutions/systems.
• Maintaining relationships with the technical team on the client side.
• Coordinating the work of engineers involved in creating the solution.
• Overseeing the entire project from start to finish.
• Engaging in the development of the Data Solutions business line, including recruiting employees, acquiring clients, training, participating in conferences, and mentoring.