MA CAPITAL U.S. LLC · 11 hours ago
Lead Data Engineer
Chicago, USA
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expMA Capital US LLC is a proprietary trading firm specializing in systematic and high-performing discretionary strategies across multiple asset classes. They are seeking a Lead Data Engineer to define and build the firm’s data strategy and core data platform, with end-to-end ownership of the data lifecycle and a mix of hands-on engineering and strategic design responsibilities.
Financial ServicesRisk ManagementTrading Platform
Responsibilities
Define the data architecture and operating model spanning live ingestion, at-rest datasets, and long-term archival
Establish a data lifecycle management framework, including storage tiers, processing patterns, and retention policies
Design and maintain centralized data repositories (data lake / warehouse) optimized for large-scale quantitative research and analytics
Set standards for data formats, schemas, partitioning, and lifecycle management, balancing performance, cost, and scalability
Design and build high-throughput, fault-tolerant data pipelines for market data & analytics workloads
Develop scalable ETL/ELT workflows supporting real-time, near-real-time, batch, and replay-based research pipelines
Implement storage solutions optimized for large-scale, time-series and event-driven datasets
Develop core abstractions and tooling that allow new datasets and features to be added without reworking foundational systems
Establish Infrastructure as Code and automation patterns to ensure reliability, reproducibility, and operability as a largely solo resource
Own the full data lifecycle from ingestion through downstream consumption by research and trading systems
Establish standards for data quality, validation, reproducibility, and operational reliability
Implement monitoring, alerting, and operational controls for data pipelines
Maintain clear documentation and conventions to ensure consistent usage across teams
Work closely with traders, researchers, and engineers to translate strategy requirements into robust data systems
Enable rapid onboarding of new strategies by delivering reliable historical and live datasets
Support ongoing model development by providing extensible pipelines for feature generation and experimentation
Qualification
Required
8+ years of senior-level experience designing and building data infrastructure or distributed systems; experience building platforms in trading, HFT, or fintech environments is a strong advantage
Strong proficiency in Python and SQL; familiarity with C++ environments and high-speed data protocols (e.g., FIX, ITCH) is advantageous
Experience with data lakes, warehouses, columnar storage formats, or time-series databases
Deep understanding of distributed systems, storage architectures, and performance trade-offs
Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) & modern deployment practices
Proven ability to operate independently, set technical direction, and deliver complete, production-grade systems in a fast-paced environment
Preferred
Experience with market data, exchange feeds, or high-throughput event streams
Background in low-latency or high-performance trading environments
Benefits
Comprehensive Health Coverage: Medical, dental, and vision insurance.
401(k) Retirement Plan: Supporting long-term financial security.
Company
MA CAPITAL U.S. LLC
We are a nimble trading firm focused on maximizing the opportunities of alpha generation through innovation in data science, technology and risk management, brought together with rigorous discipline and teamwork.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase