[Remote] Senior Data Platform Engineer
Note: The job is a remote job and is open to candidates in USA. Provable is a company focused on redefining trust and privacy in the digital world. They are seeking a Senior Data Platform Engineer to own and scale their data infrastructure, pipelines, and data-serving APIs on Google Cloud Platform, managing the end-to-end data lifecycle and addressing the unique challenges of indexing zero-knowledge networks.
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
Skills
- 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)
Company Overview
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