We are looking for a Cloud Data Architect with a minimum of 5 years of experience working with data in AWS cloud, confirmed by commercially implemented projects in production.
The candidate should have experience in a Lead Developer/Architect role or similar.
Knowledge of AWS Data services is required.
Proficiency in Databricks, particularly with the latest features such as Delta Live Tables and Unity Catalog, is essential.
Familiarity with tools, mechanisms, and processes such as CI/CD, IaaC/Terraform, 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.
Understanding of Lambda and Kappa architectures is important.
The ability to build solutions for data analysis in "near to 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 cost.
Knowledge of migrating on-premise solutions to the cloud and understanding basic migration types is necessary.
The candidate should know how to apply mechanisms related to the secure storage and processing of data in the cloud.
Participation in pre-sales meetings is expected.
The candidate should possess strategic and analytical thinking, good self-organization, independence, adaptability, communication skills, and proactivity.
Mentoring and training less experienced individuals and conducting 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 AWS cloud, confirmed by commercially implemented projects in production is required.
Experience in a Lead Developer/Architect role or similar is necessary.
Knowledge of AWS Data services is essential.
Proficiency in Databricks, especially with the latest features such as Delta Live Tables and Unity Catalog, is required.
Familiarity with CI/CD, IaaC/Terraform, and Git is necessary.
The ability to create and modify data models, including DWH, Data Marts, Data Lake, Delta Lake, and Data Lakehouse, is required.
Understanding of Lambda and Kappa architectures is important.
The candidate must be able to build solutions for data analysis in "near to real time."
Experience with monitoring, diagnostics, and troubleshooting in the cloud is necessary, along with the ability to plan infrastructure and calculate costs.
Knowledge of migrating on-premise solutions to the cloud and understanding basic migration types is required.
The candidate should know how to apply mechanisms for secure data storage and processing in the cloud.
Participation in pre-sales meetings is expected.
The candidate should demonstrate strategic and analytical thinking, good self-organization, independence, adaptability, communication skills, and proactivity.
Mentoring and training less experienced individuals is required.
Comfort with presenting at industry events is necessary.
Willingness to travel for business is required.
Proficiency in English at an advanced level (minimum C1) is essential.
Benefits:
The position offers a competitive salary ranging from 165 to 245 PLN/h net + VAT (B2B).
The role involves consulting solutions with clients, advising on technical solutions that are cost-effective and meet business needs.
Participation in early-stage client meetings to pitch experience, processes, and technology approaches is included.
The candidate will contribute to proposals, including architecture schematics and cost calculations using cloud provider calculators.
The role includes estimating project involvement and building arguments to convince clients of the proposed solutions.
Regular contact with decision-makers in the client's Data area (VP, IT Director) is part of the job.
The candidate will create Proof of Concepts (PoC) in the Data area to showcase R&D results.
The role involves designing and creating a comprehensive data processing platform, optimizing overall data storage and analysis solutions.
Maintaining relationships with the technical team on the client side and coordinating the work of engineers involved in solution creation is expected.
The candidate will oversee the entire project from start to finish and engage in the development of the Data Solutions business line, including recruiting, client acquisition, training, conference participation, and mentoring.
