Senior Data Platform Engineer (Ingest & Storage) – Contract

The client is a Singapore-based data consultancy seeking a hands-on Senior Infrastructure Engineer to deploy and operate the ingestion and distributed-storage layer of a large-scale on-premise data platform. This is an initial six-month contract, with the potential for extension or conversion to a permanent position based on business requirements and individual performance. Key Responsibilities · Design, deploy and operate scalable batch and streaming ingestion services in an on-premise or hybrid environment. · Build and support high-throughput data ingestion using Apache Kafka and dltHub or comparable ingestion frameworks. · Containerise platform components using Docker and deploy and operate production workloads on Kubernetes. · Deploy and administer Ceph-based distributed storage, covering capacity, performance, availability and recovery. · Build and maintain lakehouse storage using Apache Iceberg tables and Apache Polaris catalogues. · Integrate ingestion and storage services with downstream Spark, Trino, ClickHouse and transformation workloads. · Monitor platform health, throughput, storage and logs using VictoriaMetrics and VictoriaLogs or comparable tools. · Troubleshoot ingestion, storage, networking, Kubernetes and production-performance issues. · Produce technical documentation, operating procedures and recovery runbooks. · Work directly with technical stakeholders and contribute as a senior individual contributor. Requirements · Minimum six years of hands-on experience in data-platform infrastructure, distributed storage, data ingestion or a closely related role. · Production experience with both Docker and Kubernetes is mandatory. · Strong experience deploying and operating data platforms in on-premise or hybrid environments. · Hands-on production experience with Apache Kafka and distributed ingestion architecture. · Practical experience deploying or administering Ceph or comparable software-defined distributed storage. · Experience with Apache Iceberg and data catalogues such as Apache Polaris. · Experience using dltHub or a comparable Python-based data-ingestion framework. · Strong understanding of Linux, networking, storage, high availability, performance tuning, backup and recovery. · Experience supporting high-volume platforms at terabyte or petabyte scale. · Ability to operate independently and communicate effectively with client and technical stakeholders. · Willingness to accept a six-to-twelve-month contract and attend client locations when required. Preferred Experience · Data-platform delivery within regulated sectors such as banking, fintech, healthcare or data centres. · Experience with Kubernetes Operators, Helm, CI/CD and infrastructure automation. · Experience integrating ingestion and storage services with Spark, Trino, ClickHouse or dbt. This position focuses on data ingestion, distributed storage and platform infrastructure. It is not primarily a business-intelligence, dashboarding, visualisation or data-analyst role. How to Apply Submit your application by emailing your updated resume in MS Word format to: Wills Heng Wei He EA Personnel Registration No. R1549842 Email: wills.heng@path-source.com For JobSeekers - Free Resume Review See your resume through a recruiter's eyes. Get a FREE PathSource Resume Score and review report to understand how your resume may be coming across and what you can improve next. Submit your resume for a free review and, with your consent, join PathSource Consulting's talent network to be considered for suitable future opportunities. resume.path-source.com Optional career resource only. Participation is not required and does not affect consideration for this vacancy. For Immediate Consideration Please indicate the following information in your resume: · Current and expected salary · Reason or reasons for leaving · Availability to commence work By submitting an application or resume to us, you consent to PathSource Consulting collecting, using, retaining and disclosing your personal information to prospective employers for recruitment purposes.