4 часа назад
Data Intelligence Systems Engineer (Data Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Intelligence Systems Engineer (Data Security): Delivering technical pre-sales leadership for data discovery, classification, and security solutions across cloud, on-premises, and edge environments with an accent on enterprise architecture, customer discovery, and technical validation. Focus on designing proof-of-concept engagements, demonstrating complex solutions, translating security and compliance challenges into measurable business outcomes, and supporting enterprise sales cycles.
Location: Singapore, Singapore; onsite
Company
develops data intelligence solutions that help enterprises discover, classify, and contextualize data across cloud, on-premises, and edge environments.
What you will do
- Advise enterprise customers, prospects, and channel partners throughout complex technical sales processes.
- Lead discovery sessions covering customer environments, business drivers, security challenges, compliance requirements, and decision-making processes.
- Design and deliver product demonstrations, workshops, executive briefings, and technical presentations.
- Design, deploy, and manage proof-of-concept engagements, including technical validation, business value measurement, and customer adoption.
- Develop technical sales strategies with account executives, account managers, specialists, and channel partners.
- Contribute to RFP, RFQ, and RFI responses, partner enablement, technical training, industry events, and thought leadership.
Requirements
- BS in Computer Science, Electrical Engineering, or another technical discipline, or equivalent practical experience.
- 8+ years of experience in pre-sales, sales engineering, solutions architecture, or related customer-facing technical roles.
- Ability to explain complex technical architectures to technical and executive audiences.
- Experience with enterprise, distributed, web-based, cloud, and hybrid architectures, including AWS, Azure, GCP, and VMware.
- Familiarity with LAMP, microservices, containers, Terraform, Kubernetes, and Python-based scripting and automation.
- Experience with data discovery, classification, DSPM, DLP, SIEM, SOAR, SQL, NoSQL, data governance, privacy, compliance, and cybersecurity.
Culture & Benefits
- Environment focused on innovation, critical thinking, and challenging technical work.
- Opportunities for professional growth and contribution to meaningful products.
- Collaborative culture built around mutual support and shared success.
- Flexible time off, wellness resources, and company-sponsored team events.
- Commitment to inclusion, accessibility, and equal employment opportunity.
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