The Open Platform

Head of Data Engineering (Web3)

In short

This role leads and scales a Data Engineering team at a Web3 infrastructure and Telegram consumer-products company, owning data platform strategy across DWH, ingestion, transformation, streaming, and serving layers. It requires 6+ years building DWH architectures, deep ClickHouse and dbt expertise, team leadership experience, and interest in applying AI/LLMs to data workflows. The job also covers marketing analytics infrastructure and low-latency streaming for trading and payments, with a background or strong interest in Crypto/FinTech expected. Work is remote from Serbia with access to company hubs in Dubai, Yerevan, London, and Belgrade.

Location
Remote from Serbia; access to hubs in Dubai, Yerevan, London, and Belgrade.
Company
The Open Platform develops Web3 infrastructure and consumer-facing products in Telegram, including wallets, developer resources, SDKs, APIs, marketplaces, and ecosystem applications.
What you will do
•Build, lead, and scale the Data Engineering team, including hiring, performance management, and technical development.
•Define the long-term data platform strategy and architecture across DWH, ingestion, transformation, streaming, and serving layers.
•Apply AI and LLMs to pipeline development, data quality, anomaly detection, schema management, and internal natural-language data tools.
•Own marketing data infrastructure for attribution, segmentation, campaign optimization, and real-time growth analytics.
•Build low-latency streaming infrastructure for trading, payments, and risk-critical workloads.
•Establish standards for data quality, lineage, observability, SLAs, governance, and self-service access.
Requirements
•More than 6 years of experience and a proven record of building and managing robust DWH architectures.
•Experience leading cross-functional teams of engineers and analysts.
•Deep knowledge of ClickHouse, dbt, and modern data engineering practices.
•Understanding of marketing technology and experience automating analytics to support growth.
•Practical interest in applying AI and LLMs to analytical and operational workflows.
•Experience in or strong interest in the Crypto/FinTech industry.
Culture & Benefits
•Non-bureaucratic management focused on results and regular performance reviews.
•Remote work with access to company hubs.
•Medical expense compensation and necessary work equipment.
•Access to advanced AI models through mira.tg.
•20 working days of paid vacation, 11 additional days off, and 14 days of paid sick leave annually.

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