Data Architect

Data Architect This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE partner/customer 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: HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you. Management Level Definition: We are seeking a highly skilled Data Architect with over a decade of expertise in designing, implementing, and managing enterprise-scale data architectures. The ideal candidate will have deep experience in database design, data modeling, and data engineering, ensuring that data systems are scalable, secure, and aligned with business objectives. This role requires strong technical leadership, hands-on design capabilities, and the ability to collaborate across business and IT teams to enable data-driven decision-making. What you’ll do: Key Responsibilities Data Architecture & StrategyDefine and maintain the organization’s enterprise data architecture blueprint. Develop strategies for data integration, storage, retrieval, and governance. Ensure data architecture aligns with business goals and analytics needs. Database Design & OptimizationDesign and optimize relational and non-relational database schemas for performance, scalability, and maintainability. Implement indexing, partitioning, and query optimization techniques. Ensure database designs adhere to normalization, security, and compliance requirements. Data Engineering & IntegrationOversee data pipelines, ETL/ELT processes, and data transformation workflows. Integrate structured, semi-structured, and unstructured data from multiple sources. Support real-time and batch processing solutions. Data Governance, Security & ComplianceImplement data governance frameworks to ensure data quality, consistency, and accuracy. Define and enforce data security policies, access controls, and encryption standards.