UDP Core Platform Engineering
•Design, build, and operate the Unified Data Platform (UDP) infrastructure using Infrastructure as Code and automation first principles on Google Cloud Platform.
•Engineer and maintain standardized data platform components, including:
•Cloud landing zones for data workloads.
•Compute, storage, and networking for data processing.
•Secure connectivity between source systems and the data platform.
•Ensure platform scalability, resilience, and cost efficiency across development, testing, and production environments.
Data Enablement & Self-Service
•Enable self-service onboarding for data sources, pipelines, and analytics workloads through reusable templates and golden paths.
•Partner with Data Engineers to support:
•Data ingestion pipelines.
•Data quality and validation frameworks.
•Data contracts and metadata integration.
•Provide platform capabilities that support downstream BI, advanced analytics, and AI/ML readiness.
Observability, Reliability & Operations
•Implement end-to-end data and platform observability, including:
•Pipeline health and failures.
•Platform performance and capacity.
•Data freshness and availability indicators.
•Apply SRE practices to the data platform, including SLIs/SLOs, incident management, and post-incident reviews.
•Provide Level-2/3 operational support for UDP platform incidents and escalations.
Security, Governance & Regulatory Compliance
•Embed security by design into the UDP, including identity, access controls, encryption, secrets management, and network security.
•Ensure alignment with Group Data & AI Strategy and local data protection regulations.
•Support audit, risk, and assurance activities related to the data platform.
•Implement policy as code and guardrails to ensure compliant use of the platform by local business units.
CI/CD & Platform Automation
•Build and maintain CI/CD pipelines for data platform components and infrastructure.
•Automate platform provisioning, upgrades, monitoring, and recovery processes.
•Maintain shared libraries and templates to ensure consistent and repeatable deployments across markets.
Continuous Improvement & Platform Evolution
•Continuously improve the UDP in line with evolving business needs (analytics, AI, regulatory reporting).
•Evaluate and adopt new data platform and cloud capabilities aligned to Group standards.
•Contribute to the roadmap for AI-ready data foundations (without owning model development).
Mandatory Skills
•Strong experience with cloud-based data platforms (GCP preferred).
•Hands-on expertise in Infrastructure as Code (Terraform, Ansible).
•Experience with container platforms (Kubernetes, Docker) supporting data workloads.
•Strong understanding of CI/CD tooling and automation for platform services (GitHub Actions, Jenkins).
•Proficiency in scripting/programming (Python strongly preferred).
•Experience in cloud management.
