Data Platform Engineer

Branch is looking for a Senior Data Platform Engineer to build and evolve the foundational data platform that powers analytics, underwriting/credit models, experimentation, and operational reporting.RequirementsDesign 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 services to ever-growing levels of traffic and complexity.BenefitsMission-driven, fast-paced and entrepreneurial environmentCompetitive salary and equity packageA collaborative and flat company cultureRemote first, with the option to work in-person occasionallyFully-paid Group Medical Insurance and Personal Accidental InsuranceUnlimited paid time off including personal leave, bereavement leave, sick leaveFully paid parental leave - 6 months maternity leave and 3 months paternity leaveMonthly WFH stipend alongside a one time home office set-up budget$500 Annual professional development budgetTeam meals and social events- Virtual and In-personOriginally posted on Himalayas