Software Engineering PMTS - Data Platform
$197,300–$313,700 year
On-siteSan Francisco, California, United States or Seattle, Washington, United States
Job Summary
Architect the unified data platform for AgentExchange by consolidating fragmented telemetry pipelines, defining canonical data models, and enforcing schema governance across streaming and batch ingestion. Lead the design of an LLM and agent-native data layer, including MCP servers, RAG strategies, and vector store infrastructure to enable safe data access for internal and partner agents. Own the Lead Scoring Model for AgentX partners and drive predictive surfaces for attrition and GMV forecasting, ensuring offline and online evaluation. Represent the data platform in cross-org architecture reviews to align standards with Platform Services, Search, and Partner Experience teams. Manage the 18-month roadmap for destination consolidation and pipeline migration with zero disruption, while establishing security guardrails for PII handling and multi-tenant isolation.
Required Qualifications
- 10+ years in software / data engineering, including multi-year ownership of an enterprise-scale data or ML platform
- Deep architecture experience in at least three of: lakehouse / warehouse design, streaming + batch pipelines, dimensional and event modeling, feature stores, model serving
- Cloud-native data infrastructure: Snowflake, BigQuery, Redshift, or Databricks; AWS-based platforms
- LLM systems experience, in production: RAG, embeddings and vector stores, prompt and context engineering, offline and online evaluation, cost and latency tuning, hallucination and safety controls
- Working knowledge of MCP or equivalent tool / agent protocols, and a clear point of view on exposing data to agents safely
- Data security and governance as a first-class skill: PII classification, multi-tenant isolation, fine-grained access control, GDPR / CCPA, lineage and audit, and the security implications of LLM / agent access patterns
- Track record representing a technical domain in cross-org architecture forums and influencing direction across teams you don't manage
- Executive communication: can defend an architecture to a CTO and explain trade-offs to a PM in the same hour
- A related technical degree required
Desired Qualifications
- Preferred Salesforce Data 360, Tableau Next, Slack, MuleSoft data integration
- Marketplace or e-commerce data: GMV, attrition, conversion funnels, search signal processing
- Large-scale migrations (Heroku → cloud-native) with zero production disruption
- NPS and effort-score measurement architecture at scale
- Privacy-preserving ML (differential privacy, tokenization, synthetic data)
- Agent evaluation frameworks and LLM observability (traces, eval datasets, regression suites)
- Familiarity with Salesforce Platform features and best practices
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.