My client is seeking a senior leader to drive the strategy, delivery, and operations of a hybrid enterprise data platform powering AI, BI, and analytics.
Responsibilities
- Lead architecture & operations across Azure, Kubernetes/OpenShift & on-prem storage
- Drive CI/CD, IaC (Terraform/Ansible) & platform automation
- Oversee big data ecosystem (Spark, Kafka, Delta Lake, SingleStore)
- Implement observability (monitoring, logging, lineage, alerts)
- Own platform reliability, scalability & cost optimisation (FinOps)
- Enable self‑service for Data, AI & BI teams
- Manage delivery, dependencies & production readiness
- Mentor teams and embed DevOps/DataOps best practices
Platform Stack
- Azure
- Kubernetes/OpenShift
- Spark
- Kafka
- Delta Lake
- Parquet
- SingleStore
- VAST
- Azure DevOps
Leadership & Impact
- Partner with CTO, CDO & AI leadership on platform strategy
- Own roadmap delivery, performance metrics & cost reporting
- Lead and grow platform, DevOps & operations teams
- Drive modernisation & cloud‑native adoption
Requirements
- 8+ years in platform engineering / DevOps / data infrastructure
- 4+ years in leadership roles
- Strong hands‑on experience with Kubernetes, CI/CD & IaC
- Expertise in big data platforms (Spark, Kafka, Delta Lake)
- Experience in hybrid cloud & on‑prem environments
- Strong understanding of observability, self‑service platforms & performance tuning
Education & Certifications
- Degree in Computer Science, Engineering, or related field
- Preferred: Kubernetes (CKA/CKAD), Azure DevOps, or cloud certifications
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