HP Enterprise—Data Architect

Job description

Description: 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 & Strategy - Define 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 & Optimization - Design 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 & Integration - Oversee 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 & Compliance - Implement data governance frameworks to ensure data quality, consistency, and accuracy. - Define and enforce data security policies, access controls, and encryption standards. - Ensure compliance with regulatory requirements such as GDPR, HIPAA, and industry standards. - Collaboration & Leadership - Partner with analytics, BI, application, and infrastructure teams to deliver data solutions. - Mentor data engineers, modelers, and database administrators. - Lead architecture reviews and provide technical direction on data-related projects. What you need to bring: Education and Experience Required: - Education: Bachelor’s or Master’s degree in Computer Science, Data Management, or related field. - Experience: 10+ years in data architecture, database design, and data engineering. Knowledge and Skills: - Must be strong in PostgreSQL, ClickHouse & Cassandra - Proficiency in RDBMS (Oracle, SQL Server, MySQL) and NoSQL databases (MongoDB, Redis). - Strong knowledge of data modeling tools (ERwin, PowerDesigner, etc.). - Expertise in big data platforms (Hadoop, Spark) and cloud data services (AWS Redshift, Azure Synapse, Google BigQuery). - Experience with ETL tools (Informatica, Talend, AWS Glue) and streaming technologies (Kafka, Kinesis). - Certifications (preferred): AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Microsoft Certified Azure Data Engineer. - Soft Skills: Analytical thinking, leadership, communication, and cross-functional collaboration skills. Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #operations Job: ServicesJob Level: TCP_04 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately. Skills: data architecture, database design, data modeling, data engineering, data integration, etl, data governance, data security, data compliance, postgresql, clickhouse, cassandra, oracle, sql server, mysql, mongodb, redis, erwin, powerdesigner, hadoop, spark, aws redshift, azure synapse, google bigquery, informatica, talend, aws glue, kafka, kinesis, analytical thinking