DevOps Engineer

22 hours ago


Singapore Element Technologies Full time

Overview
Job Summary: We are seeking a highly experienced GCP DevOps Architect to lead the design, automation, and deployment of a scalable Google Cloud Lakehouse architecture integrated with MicroStrategy One BI. This role requires deep expertise in cloud-native data architecture, DevOps practices, data science workflows, and Agile delivery, with the ability to manage and collaborate across diversified stakeholder teams in an onshore/offshore operating model.
Title:
DevOps Engineer
Location:
Singapore, Singapore
Duration:
Full Time Employment
Key Responsibilities
Architect and implement DevOps pipelines for data ingestion, transformation, analytics, and BI reporting using GCP services.
Design and manage scalable data architectures, data models, and metadata frameworks to support advanced analytics and reporting.
Integrate MicroStrategy One BI with Google Cloud data services for enterprise-grade dashboards and insights.
Automate infrastructure provisioning, CI/CD pipelines, and monitoring using cloud-native tools and frameworks.
Operationalize machine learning models and data science workflows using Vertex AI and other GCP services.
Ensure compliance with data governance, security, and regulatory standards across environments.
Lead Agile delivery across onshore/offshore teams, ensuring sprint goals, release milestones, and stakeholder alignment.
Engage with client stakeholders to present architecture strategies, DevOps roadmaps, and performance metrics.
Required Skills & Qualifications
Cloud & DevOps Expertise:
Deep experience with Google Cloud Platform (GCP): BigQuery, Dataplex, Dataflow, Cloud Composer, Vertex AI, Pub/Sub, Cloud Functions.
Proficiency in DevOps tools:
Terraform, Jenkins, GitLab CI/CD, Cloud Build, Kubernetes, Docker.
Experience with infrastructure as code, automated deployments, and monitoring/logging frameworks.
Data & Analytics Expertise:
Strong knowledge of data lakehouse architecture, data modeling, ETL/ELT pipelines, and data lifecycle management.
Hands-on experience with MicroStrategy One BI: architecture, metadata, dashboard/reporting integration.
Familiarity with data science workflows, including model training, deployment, and monitoring.
Delivery & Collaboration Skills:
Proven ability to lead large-scale cloud data programs in Agile environments.
Experience managing onshore/offshore delivery models and cross-functional teams.
Strong understanding of data governance, security, and compliance frameworks (e.g., GDPR, HIPAA).
Certifications (Preferred)
Google Cloud Certified – Professional Cloud Architect
Google Cloud Certified – Professional DevOps Engineer
Soft Skills
Excellent communication and stakeholder engagement skills.
Strategic thinking and problem-solving capabilities.
Ability to mentor teams and drive DevOps and data architecture best practices.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
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