Salesforce · Posted 13d ago
Software Engineering LMTS (Data)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 San Francisco, United States
- Contract
- Full-time
- Role
- Data engineering
- Source
- Stapply Data
Stack
- ClickHouse
- PostgreSQL
- AWS
The posting
Join Qualified's Data Team as a Software Engineer and become a technical leader in shaping the architecture of core data pipelines and models. You'll own the end-to-end data process, from data models and ETL pipelines to analytics and insights. Your work will directly impact the intelligence of our AI agent, Piper, and the success of our enterprise deals.
- Concevoir et expédier des systèmes de données de bout en bout, y compris les modèles, les pipelines, la synchronisation et les couches de service. - Diriger la conception technique de systèmes multi-composants à fort volume, en mettant l'accent sur la précision, la fraîcheur et l'excellence opérationnelle. - Définir les normes de qualité des données, y compris les SLO, les contrats de données, l'observabilité et les outils pour les faire respecter.
- Experience with modern stacks (Rails/Postgres/AWS is a plus; adaptability matters most) - Demonstrated technical leadership: you influence architecture and execution beyond your immediate workstream - Proven experience building and operating production data systems at scale: pipelines, data models, or high-volume backend services - Comfortable operating in ambiguity and driving clarity: a newer team means the roadmap and conventions are still being written, and you find that energizing - Strong track record delivering complex projects with multiple stakeholders, dependencies, or phases - Strong depth in several of: PostgreSQL at scale, OLAP systems (ClickHouse or similar), CDC and event streaming, ETL orchestration, or data modeling for CRM-shaped domains - Pragmatic about reliability: you think in terms of data contracts, backfills, idempotency, and what happens when things fail - If you're excited to build the data platform behind an AI-powered product at enterprise scale, we'd love to hear from you - Experience with enterprise SaaS (especially B2B marketing or sales tech) - Experience with real-time or event-driven systems - Startup experience and rapid shipping - Experience supporting AI/ML or agentic products, where data freshness and grounding directly shape model behavior