We are looking for a talented and experienced Data Architect to join our team and help us build a full-fledged data analytics platform = (Unified Data Repository, Data Catalogue, Real-time Data Sync, High Performance, DWH + Data Representative layer for users). The ideal candidate will have a strong understanding of data warehousing, data modelling, and data visualisation. They will also have experience with the OpenSource technology stack, ClickHouse, as a primary DB solution.
After creating the Data Platform, there will be other initiatives to implement, such as big data approaches, ML and AI projects, and operational Data Flow modelling and improvement.
What you will do:
Oversee the end-to-end architecture, from data ingestion and storage to processing and presentation;
Collaborate closely with other IT teams, stakeholders, and business units to ensure the Data Platform aligns with business objectives and requirements;
Lead the integration and management of ClickHouse as the primary database solution, ensuring optimal performance, security, and scalability;
Design and implement effective real-time data synchronisation methods;
Architect and implement solutions to integrate various data sources, ensuring data quality, accuracy, and timely availability;
Design and develop a robust and scalable data warehouse solution that supports analytical and business intelligence needs;
Ensure that the DWH effectively supports data modelling, ETL processes, and data mining;
Design and develop a user-friendly data presentation layer that allows users to interact with, visualise, and derive insights from the data;
Collaborate with BI developers, data analysts and data engineers to ensure the presentation layer meets organisational needs;
Propose and implement improvements to enhance the performance, scalability, and reliability of the Data Platform.
What we expect:
Proven experience in previous organisations using DBT (or similar tools);
Proven experience in designing and implementing large-scale data platforms, preferably in the fintech domain;
Strong expertise in ClickHouse and open-source data stack;
Proficient in various data integration methods and tools;
Strong understanding of data warehousing concepts, ETL processes, and data modelling;
Strong focus on detail and dynamic leadership skills, encompassing effective communication and technical prowess, to spearhead initiatives;
Fluency in verbal and written English.
Georgia, Ukraine, Bulgaria, Poland, Belarus
Depends on candidate's experience and competence