FIA Tech is the leading technology provider to the exchange traded derivatives industry. Owned by a consortium of thirteen leading clearing firms and the Futures Industry Association (FIA), FIA Tech is committed to serving the industry and launching innovative solutions to improve market infrastructure across the listed and cleared derivatives industry. FIA Tech works in close partnership with the broader industry, including exchanges, clearinghouses, clearing firms and other intermediaries, as well as independent software vendors, buyside firms and end users to bring efficiency to the exchange traded and cleared derivatives industry.
Note:
This is a hybrid role located in NYC and candidates must not require any type of sponsorship now or in the future to work in the United States
Position Summary:
Role Objective: Design, build, and scale high-performance data pipelines from disparate datasources into a lakehouse architecture completely from scratch, and syndicate data outbound to consumers in custom pipelines.
Key Focus: Architect an AI-ready greenfield platform evaluating premium tools like Databricks alongside native AWS services.
Impact: You will own the foundational data strategy, directly enabling our fintech platform to deploy future machine learning and AI initiatives at scale while supporting near term product deliverables.
Key Responsibilities:
Greenfield Architecture: Design and implement the foundational data lakehouse structure, cataloging systems, and storage layers on AWS.AI-Ready Infrastructure: Build foundational frameworks (e.g., feature stores, model training data pipelines) to ensure data is clean, labeled, and instantly available for future ML/AI initiatives.
Pipeline Engineering: Build robust, high-throughput batch and real-time ingestion pipelines from the ground up: ETL Expertise
Infrastructure Selection: Evaluate trade-offs between third-party SaaS platforms and native AWS-managed equivalents to build a cost-effective, scalable stack.
Fintech Security: Implement day-one security infrastructure, including data governance, RBAC, and masking for sensitive financial data using AWS IAM, Lake Formation, or Unity Catalog.
Cross-Functional Collaboration: Partner with R&D, Product, and DevOps to align the platform with future product scaling.
Qualifications & Requirements
Experience:
5+ years of data engineering experience, with a track record of building data platforms from scratch. Proven record of pipelines handling, enriching and syndicating large datasets (1 billion rows +)2+ years in a senior level data architecting role that includes strategy and execution Hands on AWS experience is a must Expertise with Python, ETL Pipelines, and relational data bases such as SQL, NoSQL etc
Compensation: $165,000+ and a solid bonus with great perks & benefits
