Lead Platform Engineer

Position Title:

Lead Platform Engineer

Location:

Seattle, US (Onsite)

Basic Qualifications:

• Strong expertise in platform engineering, cloud infrastructure, and Kubernetes (AKS preferred)
• Professional-level experience in database design, SQL, and performance tuning
• Proficiency in Python scripting for automation, data processing, and operational tasks
• Hands-on experience with Terraform (Infrastructure as Code) for cloud and data platforms
• Experience with Azure Data Factory for data ingestion, orchestration, and pipeline management
• Experience with Azure Databricks for data transformation, processing, and analytics
• Strong understanding of data security, governance, access control, and compliance
• Experience working with Azure cloud-based data and platform services
• Knowledge of observability, monitoring, and logging practices (e.g., Prometheus, Azure Monitor)

Preferred Qualifications:

• Experience with large-scale data platforms and distributed systems
• Exposure to CI/CD, DevOps practices, and automation frameworks
• Knowledge of high availability, failover, and disaster recovery strategies
• Familiarity with event-driven architectures (Kafka/Event Hub)
• Experience with containerized workloads and microservices architecture
• Understanding of SRE principles (SLIs, SLOs, error budgets)

Role and Responsibilities:

• Design, build, and maintain highly available, scalable, and secure platform infrastructure on Azure, with a focus on AKS and cloud-native services
• Develop and optimize high-performance database solutions, ensuring reliability and scalability
• Build and manage data pipelines and integrations using Azure Data Factory
• Develop, support, and optimize data processing and analytics workloads using Azure Databricks
• Implement and manage infrastructure using Terraform, following Infrastructure as Code (IaC) best practices
• Write and maintain Python scripts for automation, monitoring, data processing, and operational tooling
• Ensure data integrity, security, availability, including backup and disaster recovery strategies
• Monitor platform, database, and data pipeline health, proactively resolving performance and reliability issues
• Collaborate with application, analytics, and platform teams to support data and infrastructure needs
• Implement CI/CD pipelines and automation for infrastructure, data pipelines, and platform deployments