Data Platform Engineer

## About the role Branch is a leading AI-based lending fintech with 50M+ downloads across India and Africa. We use alternative data to reach millions of people that are largely excluded from the financial sector. Headquartered in Silicon Valley with operations in India, Nigeria and Kenya, Branch is a for-profit, socially conscious company built for scale and impact. Our mission-driven team—founded and led by the former CEO of Kiva.org—now spans 400+ employees globally. We're backed by investors such as Andreessen Horowitz, Visa, and the IFC. Branch launched in India in early 2019 and has seen rapid adoption and growth. In 2026 we are building out a full Engineering team in India to accelerate our success here. This team will work closely with our engineering team (based in the United States, Nigeria, and Kenya) to strengthen the capabilities of our existing product and build out new product lines for the company. We are looking for a Senior Data Platform Engineer who will build and evolve the foundational data platform that powers analytics, underwriting/credit models, experimentation, and operational reporting. You will work closely with our Product, Data Science and Business teams to design and maintain multiple technologies, including our API backend, credit scoring and underwriting systems, payments integrations, and operations tools. We face numerous interesting technical challenges ranging from maintaining complex financial systems to accessing and processing creative data sources for our algorithmic credit model. This is not a "pipeline-only" role. You will own platform primitives: ingestion patterns, data modeling standards, orchestration, governance, reliability, and developer experience—so that downstream teams can move faster with high-quality, trusted data. As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making: We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting. ## Responsibilities - Design and build the data platform to support TB-scale datasets with strong reliability, observability, and cost efficiency. - Build standardized ingestion frameworks (batch + near-real-time where needed), including schema evolution, backfills, and data quality controls. - Own warehouse/lakehouse modeling patterns (dimensional, event-based, and domain-oriented models), with clear semantic layers for self-serve analytics. - Implement data governance & security: access controls, lineage, PII handling, retention policies, and auditability. - Partner with stakeholders to translate ambiguous needs into crisp platform roadmaps and phased delivery. - Scaling our backend ser