About the job
Join Cygnify as a Data Platform Engineer, where you will manage expansive big data platforms within hybrid environments, ensuring seamless analytics and data-driven insights. Collaborate with data engineers, scientists, infrastructure, security, and business teams to uphold data integrity, platform reliability, and operational excellence. This position emphasizes the development, management, and optimization of production-grade data platforms and pipelines with a strong focus on infrastructure, automation, and reliability.
Core Responsibilities
Design and manage scalable data platform infrastructure and pipelines across both on-premises and cloud setups.
Oversee the complete lifecycle of the platform including architecture, deployment, operations, performance tuning, and reliability engineering.
Support data platform clusters and nodes (compute, storage, networking) to ensure high availability and optimal performance levels.
Provision and manage cloud data services such as AWS S3 and Redshift.
Monitor platform performance, health, and capacity; establish observability, alerting, and operational runbooks to maintain system reliability.
Enhance and support ETL/ELT pipelines, ensuring consistent data ingestion, transformation, and delivery.
Operate and maintain both on-premises and cloud data storage platforms to ensure durability and scalability.
Implement security best practices including IAM, VPC configurations, encryption, backup strategies, and disaster recovery.
Ensure adherence to data governance and regulatory mandates (e.g., PDPA) in collaboration with infrastructure and security teams.
Work closely with cross-functional teams to align platform capabilities with business and analytical requirements.
Create and maintain comprehensive technical documentation covering system architecture, data flows, configurations, and operational procedures.

