Analytics Lead (Web3/Fintech)

TL;DR

Analytics Lead (Web3/Fintech): Leading the Data Engineering function to scale the data platform for Wallet in Telegram with an accent on DWH architecture, AI-powered automation, and real-time streaming. Focus on building internal AI tools for natural language data exploration and optimizing marketing data infrastructure for exponential growth.

Location: Remote (Global). Access to hubs in Dubai, Yerevan, London, and Belgrade is available.

Company

hirify.global develops Wallet in Telegram, a digital asset solution with over 100 million users.

What you will do

• Build, lead, and scale the Data Engineering team, owning hiring and technical growth.
• Define and execute the long-term strategy for the data platform across DWH, ingestion, transformation, and streaming layers.
• Apply AI/LLMs to automate pipeline development, data quality, anomaly detection, and schema management.
• Build internal AI tools allowing non-technical employees to query data using natural language.
• Own marketing data infrastructure for attribution, segmentation, and campaign optimization.
• Establish high standards for data quality, lineage, observability, and governance across the company.

Requirements

• Proven track record of building and managing robust DWH architectures.
• Experience leading cross-functional teams consisting of engineers and analysts.
• Deep technical expertise in ClickHouse and dbt.
• Proficiency in MarTech and experience automating analytics to drive business growth.
• Forward-thinking mindset with practical interest in applying AI/LLMs to analytical workflows.
• Strong passion for or professional experience in the Crypto/FinTech industry.

Culture & Benefits

• Remote-first setup with optional access to global hubs.
• Non-bureaucratic management focusing on results and performance.
• 20 days of paid annual vacation and 11 additional days off.
• 14 days of paid sick leave and compensation for medical expenses.
• Provision of necessary professional equipment.
• Access to advanced AI models via mira.tg and English language courses.