PMTS - Principal Agentic Data Engineer

Salesforce
Mexico City
Workplace: HybridFull timeFunction: Communications, PR & CommunityExperience: 7+ yearsSkills: ["Python","SQL","Dbt","Airflow","Apache Spark","Snowflake","Docker","Kubernetes","LangGraph","Prompt Engineering","MCP servers","Salesforce","Data Mesh","DaaP","Event-Driven Architectures","Go/Java"]

Lead the design and supervision of a high-performance digital workforce in Salesforce’s Enterprise Data & AI Solutions. As a Human-in-the-Loop Orchestrator, you’ll architect autonomous agents for ETL, QA, governance, and analytics, acting as a central anchor for a hybrid human-agent team and delivering production-ready data products with minimal manual coding.

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FursaFursa
Salesforce
Salesforce
2 months ago

PMTS - Principal Agentic Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Lead the design and supervision of a high-performance digital workforce in Salesforce’s Enterprise Data & AI Solutions. As a Human-in-the-Loop Orchestrator, you’ll architect autonomous agents for ETL, QA, governance, and analytics, acting as a central anchor for a hybrid human-agent team and delivering production-ready data products with minimal manual coding.
Location: Mexico City
Workplace: Hybrid
Employment Type: Full time
Job Function: Communications, PR & Community

Key Responsibilities

  • •Autonomous Scaling: Architect and maintain a private ecosystem of 10+ autonomous agents specialized in ETL, synthetic data generation, automated QA, and predictive modeling.
  • •Agentic Orchestration: Design multi-step reasoning architectures and verification protocols to ensure agents autonomously validate and peer-review their own outputs.
  • •Complex Problem Resolution: Transform high-level, ambiguous business requirements into production-ready data products independently, bypassing the need for mid-level project management.
  • •Governance & Oversight: Use domain knowledge to ensure deployed tools are well governed. Governance as code for data pipelines and Agentic development. Context aware Agent development.
  • •Contextual Integration: Develop and maintain Model Context Protocol (MCP) servers to provide agents with secure, deep-link access to Snowflake, Salesforce, AWS, and proprietary internal data catalogs.

Key Requirements

  • •Experience: 7+ years of experience in high-stakes Data Engineering, Architecture, or Data Science.
Experience:7+ yearsEnterprise dataAI/MLData engineering
Skills:PythonSQLDbtAirflowApache SparkSnowflakeDockerKubernetesLangGraphPrompt EngineeringMCP serversSalesforceData MeshDaaPEvent-Driven ArchitecturesGo/Java
Tech Stack:PythonSQLDbtAirflowApache SparkSnowflakeDockerKubernetesLangGraphClaudeCursorCodex

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor