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