Head of Data Engineering
The Open Platform builds infrastructure and consumer applications on the TON Blockchain to drive crypto adoption through Telegram. It provides SDKs, APIs, wallets, and other Web3 tools for builders, while supporting companies in the Telegram and TON ecosystem through TOP Labs.
Maintainer signals as of 9/25/2026
Funding history
Investors
About The Open Platform
The Open Platform develops TON Blockchain infrastructure and consumer applications for Telegram’s global user base. Its products include TON API, TAC for deploying EVM smart contracts on TON, STON.fi swap infrastructure, PlayDeck gaming tools, Getgems, and Wallet in Telegram. The organization serves Web3 developers, crypto users, and companies building products for the Telegram and TON ecosystem, and operates TOP Labs as a venture-building platform.
Skills
About the Role
You will lead and scale the Data Engineering function, own the architecture and evolution of the data platform, and enable Analytics, ML, Product, Finance, and Marketing teams with reliable self-service data. You will drive AI-powered automation, marketing data infrastructure, real-time streaming systems, and data governance.
Requirements
- Proven track record of building and managing robust data warehouse architectures
- Experience leading cross-functional teams of engineers and analysts
- Deep understanding of ClickHouse, dbt, and modern data engineering practices
- Understanding of marketing technology and experience automating analytics to drive growth
- Practical interest in applying AI and LLMs to analytical and operational workflows
- Experience in or strong passion for the crypto or fintech industry
Responsibilities
- Build, lead, and scale the Data Engineering team
- Own hiring, performance, and technical growth for the team
- Define and execute the long-term data platform strategy
- Own architecture, scaling, and reliability across data warehouse, ingestion, transformation, streaming, and serving layers
- Apply AI and LLMs to automate pipeline development, data quality, anomaly detection, and schema management
- Build internal natural-language data-querying tools
- Own pipelines for attribution, segmentation, and campaign optimization
- Build and scale low-latency infrastructure for trading, payments, and risk-critical workloads
- Set standards for data quality, lineage, observability, SLAs, and governance
- Partner with Analytics, ML, Product, Finance, and Marketing teams
Benefits
- Remote setup with access to hubs in Dubai, Yerevan, London, and Belgrade
- Compensation for medical expenses
- Provision of necessary equipment
- Access to advanced AI models via mira.tg
- 20 working days of paid vacation annually
- 11 days off per year
- 14 days of paid sick leave
