Senior Data Platform Engineer

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.

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.

Nice-to-Haves

• 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).