Senior Analytics Platform Architect (Remote)

Notable Capital; United States; Remote; USD 160,000 - 200,000; Full time

Job summary

Tala is seeking 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 role where you’ll define architecture and the direction for shared data and analytics platforms while building alongside engineers.

Initially, you’ll be an individual contributor at Principal/Staff level with growth potential to lead a team as the platform expands.

Qualifications

• Significant experience in data engineering, software engineering, analytics engineering, data platforms, or a related technical field.
• Experience designing and building large-scale or shared data platforms and infrastructure.
• Strong experience with data architecture, data modeling, pipelines, and production systems.
• A track record of making complex architectural decisions and translating them into working systems.
• The ability and willingness to write production code and build alongside engineers.
• Experience leading technical initiatives across multiple teams without necessarily having direct authority over those teams.

Responsibilities

• Own Data Platform Architecture: Define the technical architecture for Tala’s semantic layer and shared analytics platform.
• Establish consistent, governed definitions for business metrics across markets and teams.
• Determine how data and metrics should be stored, modeled, accessed, and consumed across BI tools, notebooks, applications, and AI agents.
• Make architectural decisions balancing scalability, reliability, usability, governance, and regulatory requirements.
• Set technical priorities and sequencing for major platform initiatives and ensure they reach completion.
• Build, Don’t Just Architect: Design and build production data models, pipelines, services, tooling, SDKs, and other platform components.
• Partner with Analytics Engineering and Data Infrastructure as a senior technical contributor.
• Own platform capabilities from concept through production.
• Eliminate technical debt and architectural bottlenecks that slow down the broader data organization.
• Establish reusable patterns and standards for easier data work across teams.
• Build AI-Native Analytics: Define how Tala’s Analytics can use AI in workflows and governance layers.
• Raise the technical bar: mentor through design reviews and hands-on collaboration.

Skills

Data engineering

Analytics engineering

Data platforms

Production code

Problem-solving

Communication

Job description

About Tala

Tala is the AI-native credit infrastructure that connects global capital to the global majority. We combine proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. To date, Tala has distributed more than $9 billion in capital to more than 14 million customers across Africa, Latin America, and Asia, building the definitive contextual dataset on thin-file borrowers in emerging markets. Tala is now converting that foundation into shared infrastructure that partners, capital providers, and ecosystems can build on.

The company has been named to the Fortune Impact 20 list, CNBC’s World’s Top Fintech Companies twice, CNBC Disruptor 50 for five years, and Forbes’ Fintech 50 list for ten years running.

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.

What You'll Do:

Own Data Platform Architecture

Define the technical architecture for Tala's semantic layer and shared analytics platform.

Establish consistent, governed definitions for business metrics across markets and teams.

Determine how data and metrics should be stored, modeled, accessed, and consumed across BI tools, notebooks, applications, and AI agents.

Make architectural decisions that balance scalability, reliability, usability, governance, and regulatory requirements.

Set technical priorities and sequencing for major platform initiatives and ensure they reach completion.

Build, Don't Just Architect

Design and build production data models, pipelines, services, tooling, SDKs, and other platform components.

Partner closely with Analytics Engineering and Data Infrastructure as a senior technical contributor.

Take ownership of specific platform capabilities from concept through production.

Identify and eliminate technical debt and architectural bottlenecks that slow down the broader data organization.

Establish reusable patterns and standards that make it easier for engineers and analysts to work with data.

Build AI-Native Analytics

Define how Tala's Analytics organization can effectively use AI in everyday workflows, including development, analysis, testing, documentation, and data exploration.

Build the context and governance layer that enables AI agents to safely work with trusted business metrics and data.

Establish standards and best practices for using AI across analytics and data workflows.

Help move AI initiatives from experimentation and prototypes into reliable, adopted tools and processes.

Drive Cross-Functional Data Initiatives

Lead technical initiatives that span Product, Engineering, Analytics, Finance, and Accounting.

Bring clarity to ambiguous problems and drive technical decisions to completion.

Unblock engineers and teams by resolving dependencies, architectural questions, and technical debt.

Partner with Finance and Accounting to ensure important financial and business metrics reconcile with the company's books and reporting.

Build strong relationships across teams and influence technical decisions without relying on formal authority.

Raise the Technical Bar

Provide technical mentorship through design reviews, pairing, and hands-on collaboration.

Establish engineering and data architecture standards.

Improve documentation and make data easier for teams to understand and use.

Help create a culture where governance, reliability, and usability are built into data products from the beginning.

What You'll Need:

Significant experience in data engineering, software engineering, analytics engineering, data platforms, or a related technical field.

Experience designing and building large-scale or shared data platforms and infrastructure.

Strong experience with data architecture, data modeling, pipelines, and production systems.

A track record of making complex architectural decisions and translating them into working systems.

The ability and willingness to write production code and build alongside engineers.

Experience leading technical initiatives across multiple teams without necessarily having direct authority over those teams.

Strong problem-solving skills and the ability to bring ambiguous or stalled initiatives to completion.

Experience establishing trusted, governed, or standardized business metrics is highly valuable.

Experience with AI/LLM-powered analytics, data workflows, or agents is a strong plus.

Experience working with financial, regulated, or highly sensitive data is a plus.

Excellent communication skills and the ability to explain complex technical concepts to both technical and non-technical stakeholders.

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.

160000 - 200000 USD a year