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# Senior Data Architect

- **Company:** FIA Tech
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $165,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Big Data, Software as a Service, Cyber Security, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Relational Databases, DevOps, Identity and Access Management, Python (Programming Language), Machine Learning, NoSQL, Role-Based Access Control, SQL Databases, Feature Store, Data Strategy, Data Management, Data Pipelines, Databricks
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/2_163153628

## About the Role

* 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

## Description

* 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., * 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. xrbllit