About the role
Principal Data Platform Engineer
Role Mission: To lead and scale the Data Platform Engineering and Operations function within StarHub’s Digital Experience Platform (DXP) Data organization. This role ensures the continuous reliability, scalability, and security of StarHub’s C360 cloud data platform built on AWS, Snowflake, SageMaker, and Datapipe. The incumbent drives operational excellence, automation, and engineering maturity across the platform, while prototyping and rolling out new platform capabilities that enable agility, innovation, and performance for data and AI workloads across the enterprise.
Lead a blended team of StarHub engineers and partner vendors responsible for platform sustainment and evolution. Partner with Data Engineering, Architecture, Security, Infrastructure & Tooling teams to ensure aligned technical roadmaps, compliance readiness, and audit traceability.
Responsibilities
- Own end-to-end infrastructure and platform operations of the DXP Data Platform across AWS, Snowflake, and SageMaker environments (DEV , SIT, PROD).
- Lead the design, build, and automation of data platform engineering and DevOps practices, ensuring continuous improvement and zero-downtime operations.
- Lead the prototyping, implementation, and rollout of new platform capabilities and services across AWS, Snowflake, and SageMaker.
- Drive operational excellence through monitoring, alerting, cost optimization, and performance tuning.
- Manage a hybrid team of internal platform engineers and vendor-augmented resources supporting Day 2 operations and enhancements.
What you’ll bring
Ideal Track Record
6-10 years of experience in cloud and platform engineering, with extensive experience on AWS-based data platforms.
- Proven leadership of cross-functional engineering teams managing production-grade, multi-environment platforms.
- Hands-on expertise in AWS Services: VPC, EC2, S3, RDS, Lambda, KMS, CloudFormation/CDK, Transfer Family, CloudWatch, CloudTrail.
- Snowflake: administration, RBAC, warehouse optimization, DevOps automation, Cortex AI, and Streamlit integration.
- EKS / Airflow / Airbyte (Datapipe): container orchestration, CI/CD pipelines, and deployment automation.
- SageMaker: multi-domain setup, pipeline management, Studio/Canvas lifecycle, and MLOps enablement.
- Experience managing Day 2 operations, incident response, and SRE-driven performance stabilization.
Benefits and perks
Benefits
Skills
Required
AWSAirflowSplunkSageMakerIAMSnowflakeCloudWatchCloudFormation
Nice to have
LambdaPagerDutyMlopsSecrets ManagerSlackCI/CDDockerObservabilityAlertingIncident ResponseSecurityEC2CloudTrailServiceNowInfrastructure as codeKubernetesAutomationPerformance tuningData GovernanceRBACDevOpsMonitoringVendor managementCompliance
Your contact
MG
Maruthi Gudi