Head Of Data

About Keyrock

Since 2017, Keyrock has grown to be a leading innovator in the digital asset space. With over 200 team members from 42 nationalities, we are a predominantly remote organization with hubs in London, Brussels, Singapore, and Paris. We are trading on more than 80 exchanges and provide services including market making, options trading, high-frequency trading, OTC, and DeFi trading desks.

The Role

We are seeking a Head of Data to lead the strategic direction and operational excellence of our firm's trading data ecosystem. This pivotal role will ensure the quality, reliability, and scalability of data that underpins trading, quantitative research, risk management, and decision-support functions.

Responsibilities

• Define and execute a data strategy focused on trading and market data, ensuring accuracy, timeliness, and integrity
• Collaborate with the Architecture Team to build a robust and compliant data architecture
• Drive data excellence agenda, embedding reliability and observability across the data platform
• Implement cloud-native data platforms supporting ingestion, transformation, and analytics of trading datasets
• Enforce robust data governance across the full lifecycle, including data lineage, access control, and retention
• Build, lead, and mentor a Central Data Team (Data Engineering, Data Intelligence, Data Operation)

Requirements

• 10+ years of experience in data engineering, data architecture, or data platform leadership roles
• Proven experience in building and managing trading or financial data platforms
• Strong understanding of market data feeds, trade lifecycle, and financial data models
• Expertise with modern data technologies (ClickHouse, PostgreSQL, Kafka)
• Experience implementing ML Ops frameworks
• Deep understanding of ETL/ELT pipelines and streaming architectures
• Experience working in Kubernetes and cloud-native environments (AWS preferred)

Nice to Have

• Background in crypto markets or financial trading
• Exposure to real-time analytics and monitoring tools
• Understanding of DataOps and FinOps practices
• Experience with feature engineering and model lifecycle management

Skills

• Strategic leadership in data management
• Cross-functional collaboration
• Data governance and compliance expertise
• Strong communication and mentorship abilities

Benefits

• Competitive compensation
• Flexible work arrangements
• Remote work opportunities
• Leadership role driving data strategy
• Collaborative engineering culture