Analytics Platforms Architect

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 companyThis 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 engineersYou’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 metricsYou’ll also help establish how our analytics teams and AI tools safely work with that dataThis 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 deliveryInitially, 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 teamOwn Data Platform Architecture: Define the technical architecture for Tala’s semantic layer and shared analytics platformEstablish consistent, governed definitions for business metrics across markets and teamsDetermine how data and metrics should be stored, modeled, accessed, and consumed across BI tools, notebooks, applications, and AI agentsMake architectural decisions that balance scalability, reliability, usability, governance, and regulatory requirementsSet technical priorities and sequencing for major platform initiatives and ensure they reach completionBuild, Don’t Just Architect: Design and build production data models, pipelines, services, tooling, SDKs, and other platform componentsPartner closely with Analytics Engineering and Data Infrastructure as a senior technical contributorTake ownership of specific platform capabilities from concept through productionIdentify and eliminate technical debt and architectural bottlenecks that slow down the broader data organizationEstablish reusable patterns and standards that make it easier for engineers and analysts to work with dataBuild AI-Native Analytics: Define how Tala’s Analytics organization can effectively use AI in everyday workflows, including development, analysis, testing, documentation, and data explorationBuild the context and governance layer that enables AI agents to safely work with trusted business metrics and dataEstablish standards and best practices for using AI across analytics and data workflowsHelp move AI initiatives from experimentation and prototypes into reliable, adopted tools and processesDrive Cross-Functional Data Initiatives: Lead technical initiatives that span Product, Engineering, Analytics, Finance, and AccountingBring clarity to ambiguous problems and drive technical decisions to completionUnblock engineers and teams by resolving dependencies, architectural questions, and technical debtPartner with Finance and Accounting to ensure important financial and business metrics reconcile with the company’s books and reportingBuild strong relationships across teams and influence technical decisions without relying on formal authorityRaise the Technical Bar: Provide technical mentorship through design reviews, pairing, and hands-on collaborationEstablish engineering and data architecture standardsImprove documentation and make data easier for teams to understand and useHelp create a culture where governance, reliability, and usability are built into data products from the beginning A track record of making complex architectural decisions and translating them into working systemsExcellent communication skills and the ability to explain complex technical concepts to both technical and non-technical stakeholdersExperience establishing trusted, governed, or standardized business metrics is highly valuableExperience with AI/LLM-powered analytics, data workflows, or agents is a strong plusExperience leading technical initiatives across multiple teams without necessarily having direct authority over those teamsThe ability and willingness to write production code and build alongside engineersSignificant experience in data engineering, software engineering, analytics engineering, data platforms, or a related technical fieldStrong problem-solving skills and the ability to bring ambiguous or stalled initiatives to completionExperience working with financial, regulated, or highly sensitive data is a plusExperience designing and building large-scale or shared data platforms and infrastructureStrong experience with data architecture, data modeling, pipelines, and production systems