✦ Luna Orbit — AI & Machine Learning

Principal Data and AI Architect

at Salesforce

📍 New York - New York City Metro - Remote Hybrid 💰 $173K – $231K USD / year Posted March 06, 2026
Salary $173K – $231K USD / year
Type Not Specified
Experience senior
Exp. Years 0+ years
Education Not specified
Category AI & Machine Learning

Designs and validates enterprise-scale data and AI architectures, working across data engineering, platform integration, and applied AI to enable trusted, scalable solutions.

  • Design data architectures
  • Validate AI solutions
  • Integrate enterprise data systems
  • Collaborate with data engineers and platform teams
  • Ensure scalable, secure data solutions

Involves deep technical architecture design for data pipelines, AI integration, and cloud platform deployment, with hands-on validation and system design expertise.

The ideal candidate is a senior technical architect with expertise in data engineering, AI, and enterprise data architecture, capable of designing scalable data solutions integrating multiple cloud and data platforms.

Deep technical architecture experienceData engineeringAI platform knowledgeExperience with enterprise data ecosystems
Experience with Salesforce D360Knowledge of hyperscalersReal-time data pipelines
SnowflakeDatabricksBigQueryRedshiftStreaming platformsMDMSource systems
Data engineeringAIArtificial IntelligenceData architectureData modelingSystem designCloud platformsSnowflakeDatabricksBigQueryRedshiftStreaming platformsIdentity resolutionData governance
Data engineeringAIArtificial IntelligenceData architectureData modelingSystem designCloud platformsSnowflakeDatabricksBigQueryRedshiftStreaming platformsIdentity resolutionData governance
Technical leadershipDesign thinkingCollaborationProblem-solvingCommunication
Industry SaaS / Technology
Job Function Technical architecture leadership for data and AI systems
Data engineeringAIArtificial IntelligenceData architectureData modelingSystem designCloud platformsSnowflakeDatabricksBigQueryRedshiftStreaming platformsIdentity resolutionData governance

Lack of experience with data engineering or AI architecture, No experience with cloud data platforms, Limited understanding of enterprise data systems

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