- Opportunity to lead large‑scale big data architecture projects
- Work with cutting‑edge DataOps and cloud technologies
About Our Client
Our client is a r
apidly expanding global cloud solutions provider known for its strong engineering DNA, deep R&D investment, and commitment to building cutting-edge technologies in cloud, data, and AI. They serve customers across multiple industries and are recognized for enabling large-scale digital transformation through high‑performance cloud infrastructure and innovative data platforms. The company fosters a collaborative, growth-oriented culture where technical experts can shape product direction, access world-class training, and work on impactful regional and global projects.
Job Description
- Architect and design scalable, secure big data platforms on cloud infrastructure.
- Lead end‑to‑end solutioning across data ingestion, processing, storage, governance, and analytics.
- Develop and implement DataOps best practices to improve deployment, observability, and data lifecycle management.
- Support presales activities including workshops, proposals, demos, and technical presentations.
- Conduct PoCs, troubleshoot complex issues, and guide successful customer delivery.
- Collaborate with sales, engineering, and product teams to shape customer-centric solutions.
- Stay current with cloud services, big data trends, and evolving technology architectures.
The Successful Applicant
- The ideal candidate has strong experience in big data architecture, including hands-on expertise with technologies such as Hadoop, Spark, distributed storage systems, and cloud data services.
- They should have a solid understanding of DataOps, CI/CD for data pipelines, metadata management, and data governance.
- Experience in presales, solutioning, or customer-facing technical roles is highly preferred.
- Strong communication skills, the ability to translate technical concepts into business value, and familiarity with any major cloud platform (AWS, Azure, GCP, or others) will be advantageous.
What's on Offer
This role offers competitive compensation, regional exposure, and the chance to work with modern cloud and big data technologies. You'll benefit from structured training programs, certification support, strong career development pathways, and the opportunity to lead impactful data architecture projects across enterprise clients. The environment is fast-paced, innovative, and ideal for someone looking to grow as a technical leader in the cloud and data domain.
Contact: Lydia Chen (Lic No: R22108104 / EA no: 18C9065)
Quote job ref: JN-*************
Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.