Data Architect - Distinguished Technologist

Data Architect - Distinguished Technologist

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

Job Summary:
The Data Architect will be responsible for designing, developing, and implementing robust data solutions to support business objectives. The ideal candidate should have a deep understanding of data architecture principles, database management systems, data integration, cloud infrastructure, and security. Proficiency in data governance, DevOps, and hands-on experience in crafting scalable data-driven architectures is essential. The Data Architect will collaborate closely with various teams, including data engineering, product management, and software development, to deploy efficient and secure data systems across the organization.

The Opportunity:
Responsible for the innovation strategy and technology roadmap for HPE Hybrid Cloud, overseeing the design, development, and product portfolio of our next-generation GreenLake cloud platform. By working closely with customers, we redefine their IT needs, delivering a streamlined, consumable solution that empowers them to achieve impactful business outcomes. The Data Architect will focus on enabling data platforms and frameworks that handle structured and unstructured data, ensuring optimal performance, quality, and accuracy. Responsibilities include designing and implementing data pipelines, optimizing data storage solutions, and establishing best practices for data integration and analysis.

Management Level Definition:
Contributions have major, lasting technical impact within and across business units, multiple projects, or products. Viewed as a technical authority, internally and externally, innovating within and across business units and functions. Identifies and applies emerging data technologies and trends. Champion large projects that enable the company's long-term goals. Leads and connects others across functions to unite around a common goal. Actively mentors others and demonstrates leadership within the HPE technical community.

Education and Experience Required:

• 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.

Knowledge and Skills:

• Lead advanced development teams building proof-of-concept implementations for data platforms and solutions.
• Collaborate with cloud and data architects to design and set standards for the HPE GreenLake Hybrid Cloud platform and data solution portfolio.
• Drive evaluation of data storage and integration solutions and conduct research on platform behavior under different workloads.
• Demonstrate effective technical leadership skills to influence diverse groups toward common goals/strategies.
• Effectively communicate product architectures, design proposals, and negotiate options at the most senior organizational levels within internal and external organizations.
• Strong understanding of database design patterns, data modeling, and data-driven architecture principles.
• Proficiency in cloud-native data architectures, emphasizing high availability, scalability, resilience, performance, and security.
• Act as a cross-functional product and technical expert for the intersection of hybrid cloud and data technologies, co