9 дней назад
Head Of Data Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head Of Data Platform (AI): Leading the data engineering function and evolving a scalable platform across warehousing, ingestion, transformation, streaming, and serving with an accent on reliability, governance, and AI-powered automation. Focus on building low-latency infrastructure for trading, payments, and risk workloads, applying LLMs to data operations, and enabling self-service analytics across the business.
Location: Remote, with access to hubs in Dubai, Yerevan, London, and Belgrade.
Company
builds Walt, a Telegram-native crypto application integrated with the TON blockchain and Telegram's financial ecosystem.
What you will do
- Build, lead, and scale the Data Engineering team, including hiring, performance management, and technical development.
- Define the data platform strategy and architecture across data warehousing, ingestion, transformation, streaming, and serving layers.
- Apply AI and LLMs to pipeline development, data quality, anomaly detection, schema management, and natural-language data exploration.
- 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
- Proven experience building and managing robust data warehouse 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 analytics automation for growth.
- Practical interest in applying AI and LLMs to analytical and operational workflows.
- Experience in or strong passion for the crypto or fintech industry.
Culture & Benefits
- Remote setup with access to company hubs.
- Non-bureaucratic, results-focused management.
- Regular performance reviews.
- Medical expense compensation and necessary work equipment.
- Access to advanced AI models through Mira.
- 20 working days of paid vacation, 11 additional days off, and 14 days of paid sick leave annually.
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