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

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• AWS
• Azure
• Cloud

Benefits

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