This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week 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.
Aruba
is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some of the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you.
How You Will Make Your Mark…
The ideal candidate will have experience with deploying and managing enterprise-scale Data Governance practices along with Data Engineering experience developing the database layer to support and enable AI initiatives as well as streamlined user experience with Data Discovery, Security & Access Control, for meaningful & business-relevant analytics. The candidate will be comfortable with the full stack analytics ecosystem, with Database layer, BI dashboards, and AI/Data Science models & solutions, to effectively define and implement a scalable Data Governance practice.
What You’ll Do
Responsibilities:
- Drive the design and development of Data Dictionary, Lineage, Data Quality, Security & Access Control for Business-relevant data subjects & reports across business domains.
- Engage with the business users community to enable ease of Data Discovery and build trust in the data through Data Quality & Reliability monitoring with key metrics & SLAs defined.
- Supports the development and sustaining of Data subjects in the Database layer to enable BI dashboards and AI solutions.
- Drives the engagement and alignment with the HPE IT/CDO team on Governance initiatives, including partnering with functional teams across the business.
- Test, validate and assure the quality of complex AI-powered product features.
- Partner with a highly motivated and talented set of colleagues.
- Be a motivated, self-starter who can operate with minimal handholding.
- Collaborate across teams and time zones, demonstrating flexibility and accountability
Education And Experience Required
- 7+ years of Data Governance and Data Engineering experience, with significant exposure to enabling Data availability, data discovery, quality & reliability, with appropriate security & access controls in enterprise-scale ecosystem.
- First level university degree.
What You Need To Bring
Knowledge and Skills:
- Experience working with Data governance & metadata management tools (Collibra, Databricks Unity Catalog, Atlan, etc.).
- Subject matter expertise of consent management concepts and tools.
- Demonstrated knowledge of research methodology and the ability to manage complex data requests.
- Excellent analytical thinking, technical analysis, and data manipulation skills.
- Proven track record of development of SQL SSIS packages with ETL flow.
- Experience with AI application deployment governance a plus.
- Technologies such as MS SQL Server, Databricks, Hadoop, SAP S4/HANA.
- Experience with SQL databases and building SSIS packages; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus.
- Exceptional interpersonal skills and written communication skills.
- Experience and comfort solving problems in an ambiguous environment where there is constant change.
- Ability to think logically, communicate clearly, and be well organized.
- Strong knowledge of Computer Science fundamentals.
- Experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.).
- Proficiency in MS Power Platform, Java, Scala, Python experience preferred.
- Strong collaboration and communication skills.
- Performing deep-dive investigations, including applying advanced techniques, to solve some of the most critical and complex business problems in support of business transformation to enable Product, Support, and Software as a Service offerings.
- Strong business acumen and technical knowledge within area of responsibility.
- Strong project management skills
Additional Skills
Accountability, Accountability, Active Learning (Inactive), Active Listening, Bias, Business Decisions, Business Development, Business Metrics, Business Performance, Business Strategies, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Cross-Functional Teamwork, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Leadership, Long Term Planning, Managing Ambiguity, Personal Initiative {+ 5 more}
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
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SpecialistHPE 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.
