Analytics Platforms Architect.

Remote Data Engineering & Architecture Full-Time

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Analytics Platforms Architect: our view in 3 lines...

The Role:This role is for a principal-level analytics platforms architect building trusted data and analytics infrastructure for a fintech company.
The Person:The person will define semantic layer and analytics platform architecture, build production data models and tooling, lead cross-functional data initiatives, and establish standards for governed metrics and AI-enabled analytics.
Requirements:The ideal candidate has significant experience in data engineering, software engineering, analytics engineering, data platforms, data architecture, data modeling, pipelines and production systems.

About the role

About Tala

Tala is AI-native credit infrastructure for the global majority, combining proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. Backed by more than $500 million in funding, Tala has distributed more than $7 billion in capital to more than 13 million customers across Africa, Latin America, and Asia—building one of the most robust datasets on thin-file borrowers anywhere in the world. Our mission is simple yet bold: to unleash the economic power of the global majority. We are looking for daring, data-driven leaders passionate about building the trust and credit infrastructure for the global majority.

Our pioneering work and proven impact have earned us consistent recognition, including being named to:

CNBC’s Disruptor 50 for five years.

CNBC’s World's Top Fintech Companies for two consecutive years.

Forbes’ Fintech 50 list for nine consecutive years.

Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success.

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!

The Role

We're looking for an Analytics Platforms Architect to be the senior technical leader responsible for making Tala's data easier to trust, understand, access, and use across the company.

This is a highly hands-on technical leadership role. You'll define the architecture and technical direction for shared data and analytics platforms while also building alongside our engineers.

You'll work across Product, Analytics, Engineering, Finance, and Accounting to create infrastructure that becomes the foundation for how Tala uses data. A major focus will be building a semantic layer that gives the organization consistent, governed definitions for important business metrics. You'll also help establish how our analytics teams and AI tools safely work with that data.

This isn't an architecture role where you simply create designs and hand them off to someone else. You'll be expected to make technical decisions, write code, build production systems, and drive important platform initiatives through delivery.

Initially, this role is an individual contributor position with no direct reports, operating at a Principal/Staff-level scope. As our platform organization grows, there will be an opportunity to build and lead a team.

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Published September 9, 2026

Location United States, United States of America

Category Data Engineering & Architecture

Job Type Full-Time

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