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The Data Architect will be responsible for designing, developing, and implementing robust data solutions to support business objectives. This role requires deep expertise in data architecture principles, cloud infrastructure, and data integration, along with a strong leadership presence to mentor others and create scalable solutions for structured and unstructured data. The position is focused on developing and productizing data-driven architectures and pipelines within a complex, global environment.
Job Responsibility:
Designing, developing, and implementing robust data solutions to support business objectives
Collaborating with cloud and data architects to design and set standards for the HPE GreenLake Hybrid Cloud platform and data solution portfolio
Driving evaluation of data storage and integration solutions and conducting research on platform behavior under different workloads
Designing and implementing data pipelines
Optimizing data storage solutions
Establishing best practices for data integration and analysis
Leading advanced development teams building proof-of-concept implementations for data platforms and solutions
Acting as a cross-functional product and technical expert for hybrid cloud and data technologies
Providing consultation, design input, and feedback for product development and design reviews across multiple organizations
Guiding and mentoring less-experienced staff members
Collecting product feedback from field interactions to provide input into Engineering and Product Management for product roadmap direction
Requirements:
15+ years of relevant experience in the industry delivering technical and business strategy at an advanced/strategist level
Bachelor's, Master's, or PhD degree in Computer Science, Information Systems, Engineering, or equivalent
Strong understanding of data architecture, cloud infrastructure, and data management technologies
Proven experience driving innovations in data solutions and the productization of advanced development activities
Must have a track record of architecting, building, and deploying mission-critical, highly distributed, data-centric applications and solutions
Experience with at least one major IaaS and/or PaaS technology (OpenStack, AWS, Azure, VMware, etc.), including defining and scripting full topologies
Must be able to work in a global, complex, and diverse environment
Nice to have:
Proficiency in cloud-native data architectures, emphasizing high availability, scalability, resilience, performance, and security
Strong knowledge of data failure modes, resiliency patterns, and techniques to enable robust, self-healing data architectures
What we offer:
Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to career goals
Unconditionally inclusive work culture that celebrates individual uniqueness
Flexibility to manage work and personal needs
Opportunities for professional growth and development
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