[Remote] Analytics Platforms Architect

Note: The job is a remote job and is open to candidates in USA. Tala is an AI-native credit infrastructure company serving the global majority through proprietary risk intelligence and credit access solutions. The Analytics Platforms Architect will serve as a senior technical leader defining and building Tala's shared data and analytics platforms, including a governed semantic layer, production data systems, and AI-native analytics capabilities. The role will drive cross-functional initiatives, establish technical standards, and provide hands-on technical leadership across Product, Engineering, Analytics, Finance, and Accounting.

Responsibilities

• 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
• 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
• 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
• 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
• 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

Skills

• 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

Benefits

• Full-time position
• Remote-first approach
• Remote work

Company Overview