Data Architect, German

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇵🇱 Pologne – Télétravail

💵 zł170 - zł200 / heure

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Spyrosoft

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1001 - 5000 employés

Fondée en 2016

🚘 Automobile

🏥 Santé

💼 Conseil

Automotive • Healthcare • Consulting

Spyrosoft est une entreprise européenne de services technologiques et d'ingénierie logicielle qui s'associe à des entreprises pour réaliser des transformations numériques, des logiciels sur mesure et du conseil en informatique. Elle propose des services de développement cloud, IA/ML, embarqués et IoT, de cybersécurité, de conception de produits, de services managés et d'augmentation d'effectifs, et développe des plateformes et produits tels que DebtPro, Allpro et VoicePro. Spyrosoft sert des clients dans divers secteurs comme l'automobile, la santé et les sciences de la vie, les services financiers, la géospatiale, les médias et divertissements, la robotique et l'énergie, et opère depuis des bureaux en Europe, au Royaume-Uni et aux États-Unis.

Description

• Design and evolve enterprise data architecture and cloud-based data platforms • Define architecture for Data Lakes, data processing and analytics solutions on AWS • Design scalable data ingestion, transformation, integration and processing pipelines • Define architectural standards, patterns and best practices for data platforms • Design and oversee data migration and system integration strategies • Ensure appropriate Data Governance, Data Quality, Data Security and access-control standards • Define data models, data flows, interfaces and integration patterns across complex environments • Support architectural decisions regarding batch and real-time data processing • Work with engineering teams on Hadoop, Spark, Airflow and AWS-based solutions • Drive automation and support CI/CD practices for data platforms and pipelines • Ensure solutions meet scalability, performance, reliability, security and maintainability requirements • Collaborate with Data Engineers, Cloud Architects, Security teams, Product Owners and business stakeholders • Translate business and technical requirements into target architecture and implementation roadmaps • Conduct architecture reviews and provide technical guidance to delivery teams • Create and maintain architecture documentation, data flows, standards and technical specifications • Support Agile/Scrum delivery and participate in technical workshops with stakeholders

🎯 Exigences

• 5+ years of experience as a Data Architect / Data Platform Architect • Strong experience designing enterprise-scale data platforms and data architectures • Strong knowledge of AWS data services and cloud architecture • Extensive experience with AWS Data Lake and Amazon EMR • Strong background in Hadoop and Apache Spark • Experience with Apache Airflow and workflow orchestration • Strong understanding of ETL/ELT patterns and modern data pipelines • Experience designing batch and/or streaming data architectures • Extensive experience in Data Migration, Data Integration and system integration • Strong knowledge of Data Governance, Data Quality, Metadata Management and Data Lineage • Strong understanding of Data Security, IAM, encryption and access-control concepts • Experience with data modelling and designing data flows across distributed systems • Understanding of relational, NoSQL and analytical data storage concepts • Experience designing solutions for scalability, high availability, performance and resilience • Experience with CI/CD and infrastructure/data pipeline automation • Ability to define architecture principles, standards, patterns and technical documentation • Experience working in Agile/Scrum environments • Practical experience with Jira, Confluence and Microsoft Teams • AWS Data Analytics certification • ITIL Foundation certification • At least four relevant project references within the last 8 years for each major capability area • Very good command of English • German language skills are advantageous; candidates without German are welcome if they have a strong technical fit • Experienced in using AI tools in day-to-day workflow is nice to have • Knowledge of modern Lakehouse architectures is nice to have • Experience with event-driven and real-time data architectures is nice to have • Familiarity with Data Mesh and Data Fabric concepts is nice to have • Experience in large-scale international or regulated enterprise environments is nice to have • Knowledge of enterprise architecture frameworks and architecture governance processes is nice to have

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