provable - Senior Data Platform Engineer

Hybrid4w ago

In Office Senior WW Cryptocurrency Cloud Computing Platform Engineer Senior Data Engineer Node.js TypeScript Python Terraform Kubernetes

Requirements

• 6+ years of experience in a Data Platform, Data Engineering, or Core Backend role managing production data systems at scale. • Strong proficiency in Node.js / TypeScript for API development and Python for data scripting. • Expert-level SQL and deep experience optimizing relational databases (Postgres) and cloud data warehouses (BigQuery). • Proficiency with cloud infrastructure automation, specifically Terraform and Kubernetes (GKE). • Excellent communication skills with a track record of taking end-to-end ownership of critical technical initiatives. • Experience with real-time streaming architectures and event-driven tools (such as Kafka, Debezium, Flink, Airflow, or dbt). • Deep understanding of Web3 infrastructure, blockchain data structures, and ZK-rollups or privacy networks. • Experience implementing monitoring and observability solutions (Prometheus, Grafana, or GCP native services). • Global Data Privacy Notice for Job Candidates and Applicants • Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants.

Responsibilities

• Design, implement, and maintain scalable and reliable data infrastructure in GCP. • Build and optimize data pipelines fed by blockchain indexers to support our blockchain explorer, API, and analytics. • Design data models that effectively handle the unique privacy and cryptographic constraints of Aleo’s zero-knowledge network architecture. • Own, develop, and optimize APIs that serve data directly to our mobile privacy wallets and external products. • Manage and optimize database technologies, with a focus on Postgres and BigQuery. • Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting. • Collaborate with product and engineering teams to understand requirements and deliver high-performance APIs. • Identify opportunities to optimize the performance and cost of data platforms. • Utilize infrastructure-as-code (Terraform and Helm) to deploy and manage data environments. • Help define the technical vision and evolution of our data platform and architecture.