Data Architect

OverviewAs a Big Data Architect in our iGaming-focused data team, you will shape the future data platform from the early design stage alongside senior engineers and architects.You will assess current platforms, define the future state, and drive gap analysis with cross-functional stakeholders to align with enterprise data goals.You’ll translate emerging big data trends into practical architectures, balancing performance, governance, and scalability.This role offers impact across data modeling, pipelines, and secure architectures, enabling data-driven decisions at scale.Compensaciones / BeneficiosGreat career development opportunitiesHybrid working modelInternational Health InsuranceHealth and Wellbeing PackageBirthday Day OffMe Time - 1 day off per yearResponsabilidadesAssess current data platforms and define the future state with the BDE team lead.Conduct gap analysis and drive implementation with stakeholders (architects, governance, DevOps).Communicate new technologies and practices clearly to the team.Ensure adherence to coding standards, data accuracy, validity, and reusability.Maintain excellent SQL skills and familiarity with relational and columnar databases.Collaborate with stakeholders for research and effort sizing.Support refinement sessions to improve estimation and reduce silos.Contribute to project planning and peer reviews.Requisitos principalesData modeling and schema design for data warehouses and data lakes.Experience with data flows, lifecycle, and enterprise data frameworks.Proficiency in relational and non-relational databases (SQL, NoSQL).Hands-on ETL/ELT, data integration, and data pipelines.Familiarity with data governance, lineage, and metadata management.Cloud data platforms (AWS, Azure, GCP) and modern data stacks; streaming technologies.Knowledge of data privacy, security frameworks, and regulatory compliance.Ability to design secure architectures and implement data protection strategies.clear communicationstakeholder collaborationteam collaborationData modeling and schema designData warehouses and data lakesSQL proficiency across relational and columnar databases

Experience with data flows, lifecycle, and enterprise data frameworks. Proficiency in relational and non-relational databases (SQL, NoSQL). Hands-on ETL/ELT, data integration, and data pipelines. Familiarity with data governance, lineage, and metadata management. Cloud data platforms (AWS, Azure, GCP) and modern data stacks; streaming technologies. Knowledge of data privacy, security frameworks, and regulatory compliance. Ability to design secure architectures and implement data protection strategies. clear communication stakeholder collaboration team collaboration Data modeling and schema design Data warehouses and data lakes SQL proficiency across relational and columnar databases