SA

Salesforce · salesforce.wd12.myworkdayjobs.com · checked today

Architect, Data Platform — AgentExchange

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Skills, with evidence

• Data modelling
  Deep architecture experience in at least three of : lakehouse / warehouse design, streaming + batch pipelines, dimensional and event modeling, feature stores, model serving.must havewrong?
• Streaming
  Pipelines and contracts. Streaming and batch ingestion, schema governance, data contracts enforced across every AgentExchange engineering team, and pipeline reliability SLOs.must havewrong?
• Governance & security
  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.must have · not practised herewrong?
• Machine learning
  ML platform. Feature store, training and serving infrastructure, evaluation, and monitoring.must have · not practised herewrong?
• Data quality
  Partner-facing dashboards refresh on a documented SLO, and instrumentation completeness is measurable and enforced.must havewrong?
• AWS
  Cloud-native data infrastructure: Snowflake, BigQuery, Redshift, or Databricks; AWS-based platforms.must have · not practised herewrong?
• Dashboards & BI
  Own the data and intelligence architecture for AgentExchange — the marketplace where partners list, sell, and operate Agentforce, MuleSoft, Tableau, and Slack solutions.not practised herewrong?
• Failure handling
  Feature store, training and serving infrastructure, evaluation, and monitoring.wrong?
• Cost & performance
  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.wrong?
• SQL
  Cloud-native data infrastructure: Snowflake, BigQuery, Redshift, or Databricks;wrong?
• Schema evolution & contracts
  Streaming and batch ingestion, schema governance, data contracts enforced across every AgentExchange engineering team, and pipeline reliability SLOs.wrong?
• Spark
  Cloud-native data infrastructure: Snowflake, BigQuery, Redshift, or Databricks;wrong?
• Warehousing
  Deep architecture experience in at least three of : lakehouse / warehouse design, streaming + batch pipelines, dimensional and event modeling, feature stores, model serving.wrong?
• GCP
  Cloud-native data infrastructure: Snowflake, BigQuery, Redshift, or Databricks;not practised herewrong?