
Data Platform Engineer
2 days ago
About the Role
We are developing a cutting-edge, cloud-based Data as a Service (DaaS) platform utilizing Azure Databricks technology. This innovative platform will enable our customers to run complex analytical, AI, and ML workloads on data stored in our Engagement Banking Platform without compromising operational system stability.
This strategic position plays a crucial role in the development of an enterprise-grade "Data as a Service" platform from scratch.
Key Responsibilities
- Maintaining and scaling Databricks clusters for optimal performance;
- Laying down the foundation of a secure, robust data platform and related processes;
- Ensuring industry standards are met for stability, scalability, and cost efficiency;
- Maintaining the reliability and performance of the Data platform;
- Becoming proficient in resource utilization, cost optimization, performance tuning, and data isolation techniques;
- Designing, building, and maintaining Infrastructure as Code for the Data as a Service platform;
- Participating in refining the architecture and making technical decisions within the team;
- Developing and implementing automation solutions to enhance system uptime, performance, and security.
Requirements
- A minimum of 4 years of experience with Databricks infrastructure, including maintenance, scaling, performance tuning, and cost optimization;
- Familiarity with multi-tenant installations in Databricks is beneficial;
- Experience in building, scaling, and maintaining Data platforms on public clouds, preferably Azure;
- Knowledge of monitoring and metrics tools, such as Prometheus, Grafana, and Azure Monitor;
- Proficiency in programming and automation languages;
- Experience with cloud environments and using desired state configuration to manage them (Terraform/OpenTofu preferred);
- A minimum of 5 years in a similar role running workloads on public clouds;
- Familiarity with GitOps/ArgoCD is advantageous;
- Strong communication skills;
- Ability to utilize CLI-based tooling and maintain and troubleshoot Linux-based operating systems.
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