Senior Director Analyst – Data Engineering, Edge, Data Lakes, Back End

🕒 il y a 2 mois

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Gartner

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1979

🏢 Entreprise

Enterprise • Consulting • Research

Gartner est un cabinet mondial de recherche et de conseil qui fournit des analyses d’experts, des idées audacieuses et un accompagnement aux dirigeants d’entreprise et à leurs équipes. Gartner aide ses clients à réussir sur leurs priorités critiques en proposant des services sur mesure dans les domaines suivants : • Service client • Conseil • Marchés numériques • Conseil aux dirigeants • Finance • Ressources humaines • Juridique • Marketing • Produits • Recherche • Ventes • Technologies L’entreprise met en avant une culture à fort impact, fondée sur l’inclusion et la diversité, et un modèle de travail hybride qui favorise la collaboration à l’échelle mondiale. Gartner organise également plus de 40 conférences et propose des stratégies de conseil pour optimiser les investissements technologiques.

Description

• Conduct comprehensive research and analysis on the edge data management market, including databases, data storage, and emerging data architectures at the edge, cloud and AI environment. • Identify and analyze the key drivers necessitating the adoption of data management in distributed enterprises and their impact on real-time decision-making. • Author high-quality, thought-provoking research reports, presentations, and other deliverables on key topics such as data management trends, use cases, challenges, and vendor landscapes. • Provide expert advisory services to Gartner clients through inquiries, meetings, and presentations, addressing their specific questions and providing strategic guidance on their edge data initiatives. • Develop a deep understanding of the similarities and differences between cloud-based and edge-based data management solutions and the factors driving their adoption. • Strong foundation in data architecture and cloud-native data platforms, with working knowledge of modern data engineering toolchains across edge-to-cloud deployments. • Assess and advise on deploying and operating AI workloads across distributed sites, including orchestration, remote updates, and monitoring for reliability and performance. • Assess and advise on the long-term suitability, scalability, and security of proposed hybrid data architectures, including integration and orchestration patterns across on-prem and cloud platforms. • Experience evaluating cloud data platforms for edge-to-cloud analytics, governance, and real-time data pipelines, including open table formats. • Investigate the challenges organizations face in managing distributed data architectures in edge environments, including governance and security concerns, and provide guidance on addressing these challenges. • Analyze the competitive landscape of vendors providing edge data management solutions. • Contribute to the development of forecasts and market sizing for the edge data market segments.

🎯 Exigences

• Significant experience in the data management domain, with a strong focus on edge computing and edge data management. • Deep understanding of database technologies, data storage solutions, and data integration strategies, with specific knowledge of their application in environments for Banking and Finance use-cases. • Understanding and implementation of PCI DSS standards across banking and retail environments. • Demonstrated ability to conduct independent research and analysis, synthesize complex information, and develop insightful and actionable recommendations. • Excellent written and verbal communication skills, including the ability to present complex topics clearly and concisely to both technical and non-technical audiences. • Strong client engagement and advisory skills, with a proven track record of building rapport and providing valuable guidance to clients. • Familiarity with the various use cases driving edge data adoption across different industries. • Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their integration with edge environments. • Understanding of the security and governance considerations specific to edge data management. • Bachelor's degree in a relevant field (e.g., Computer Science, Information Technology, Data Science) or equivalent experience; advanced degree preferred.

🏖️ Avantages

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events