Head of Data Architecture

Head of Data Architecture

Location: Fully Remote (Preference for London, New York, or Dubai)

Reporting to: Chief Technology Officer (CTO)

About AlgoQuant Asset Management

AlgoQuant Asset Management is an ambitious, high-performing, and pioneering multi-strategy crypto Asset Manager. For over five years, we have operated as a proprietary trading firm, making tactical allocations to both internal and external quantitative trading teams.

In 2024, Michael Ashby joined AlgoQuant as CEO, bringing his expertise from leading Point72’s digital assets division across quant, venture, and macro trading. With a strengthened executive team, we are now transitioning into an investment management firm, managing external capital while leveraging our technology, risk management expertise, and deep market experience. At AlgoQuant, we believe in the power of both internal and external teams, casting a wide net for new ideas, identifying world-class talent, and diversifying our alpha sources. 

Role Overview

We’re hiring a Head of Data Architecture to design and lead the buildout of a state-of-the-art data platform that powers our strategies, research, risk systems, and real-time intelligence. This is a foundational role—you’re not just laying pipes, you’re architecting the nervous system of a fast-moving, crypto-native trading and investment firm.

You’ll work at the intersection of quant research, trading, and engineering to build an end-to-end data stack that supports streaming ingestion, distributed compute, advanced analytics, and machine learning. The ideal candidate is deeply technical, highly pragmatic, and excited to shape the data foundation of one of the most sophisticated firms in digital assets.

 

Key Responsibilities:

Architect the Core Data Platform:

• Design a modern data architecture that supports real-time, batch, and event-driven pipelines.
• Define and enforce standards for ingestion, cataloging, modeling, access control, and data lineage.
• Build resilient abstractions for market, execution, blockchain, and internal operational data.

Technical Leadership:

• Lead the evaluation and deployment of technologies such as Iceberg, Kafka, Arrow, Spark/Flink, DuckDB, Ray, and dbt.
• Implement robust schema evolution, observability, and governance strategies.
• Balance low-latency demands with high availability and system resilience.

Platform Strategy & Execution:

• Collaborate with leadership to align the data platform roadmap with business, trading, and research goals.
• Own the architectural vision for self-service analytics, feature engineering, and ML ops.
• Scale the platform to handle multi-exchange, multi-chain data across globally distributed teams.

Governance & Reliability:

• Establish access controls, data quality, and security frameworks to safeguard proprietary data.
• Build infrastructure for real-time system monitoring, data freshness tracking, and anomaly detection.

 

Qualifications & Experience

Must-Have Experience:

• 7+ years in data architecture or data engineering, preferably in trading, crypto, or finance.
• Deep understanding of modern data lakehouse patterns (Iceberg/Delta, object storage, columnar formats).
• Expertise in real-time and batch data processing tools (Kafka, Flink, Spark, Airflow).
• Experience building low-latency, high-availability systems in distributed environments.
• Proficiency with modern tooling (e.g., dbt, Great Expectations, Kubernetes, Terraform, etc.)

Nice to have:

• Experience with DeFi protocols, blockchain data, or exchange APIs.
• Familiarity with quant research workflows and feature stores.
• Ability to model complex time-series and event-driven data.

What Success Looks Like:

• A unified, trusted data platform that serves quant, ops, and analytics teams.
• Fast, reliable onboarding of new data sources—on-chain, off-chain, internal.
• Tight feedback loops and rapid iteration between research and production environments.
• Measurable reductions in time-to-signal across the firm, driven by superior tooling, abstractions, and automation.

Why Join AlgoQuant?

• Work at the forefront of quantitative trading and AI-driven research in crypto markets.
• Lead a high-caliber technology team, shaping the future of our trading infrastructure.
• Collaborate with world-class researchers, traders, and engineers to drive technological excellence.
• Competitive compensation, including performance-based incentives and long-term upside potential.