Senior Data Architect

FIA Tech; New York (NY); Hybrid; USD 165,000 - 190,000; Full time

Benefits offered by this job

Bonus

Job summary

FIA Tech in New York, NY, is seeking a senior data engineer/architect to design, build, and scale high-performance data pipelines into a lakehouse on AWS. The role focuses on creating AI-ready infrastructure, feature stores, and scalable ingestion pipelines to enable future ML/AI initiatives.

You will collaborate with R&D, Product, and DevOps to align data strategy with product roadmap. Qualified candidates have 5+ years in data engineering, 2+ years in senior data architecture, and strong AWS,

Qualifications

• 5+ years of data engineering experience building data platforms from scratch.
• 2+ years in a senior data architecture role with strategy and execution.
• Hands-on AWS experience and proficiency with Python and ETL pipelines.

Responsibilities

• Greenfield architecture: design the data lakehouse on AWS with catalogs and storage layers.
• AI-ready infra: build feature stores and data pipelines for ML/AI initiatives.
• Pipeline engineering: high-throughput batch and real-time ingestion pipelines.
• Infrastructure choices: evaluate SaaS vs native AWS components for a scalable stack.
• Fintech security: implement data governance, RBAC, and masking using AWS IAM or similar.

Skills

Data engineering

Senior data architecture

Python

ETL pipelines

AWS

Databricks

Data lakehouse

Tools

Databricks

AWS

Python

SQL

NoSQL

Job description

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