Senior Data Engineer

Salesforce
Mexico City
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Collaboration","Problem-solving"]

Senior Data Engineer within Salesforce’s Data & Analytics organization, collaborating with cross-functional teams to design, build, and operate scalable data pipelines and data platforms that support analytics, BI, and AI-powered features. You’ll work on retrieval systems, inference infrastructure, identity graphs, and data architecture to ensure data quality, latency, and reliability for AI-powered customer success initiatives.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Salesforce
Salesforce
5 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 35 minutes agoStatus: Live

Job Summary

Senior Data Engineer within Salesforce’s Data & Analytics organization, collaborating with cross-functional teams to design, build, and operate scalable data pipelines and data platforms that support analytics, BI, and AI-powered features. You’ll work on retrieval systems, inference infrastructure, identity graphs, and data architecture to ensure data quality, latency, and reliability for AI-powered customer success initiatives.
Location: Mexico City
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and implement robust data pipelines and retrieval systems that support AI agents and analytics across the Salesforce data ecosystem.
  • •Partner with Decision Scientists and engineers to build infrastructure for attribution, causal modeling, and AI-powered data delivery.
  • •Develop and maintain identity graphs and cross-functional data architectures with real-time insights for agentic systems and human-facing applications.
  • •Lead modernization of data architecture, cataloging, and data governance to enable scalable AI consumption and human augmentation.
  • •Drive automation and enforce high data quality, low latency, and up-to-date indexing to deliver reliable, real-time insights.

Key Requirements

  • •6+ years of experience as a Data Engineer or in a similar role
  • •Proficiency in Python, SQL, and Spark
  • •Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
  • •Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud)
  • •Experience with the Salesforce Ecosystem, specifically Data Cloud
Experience:6+ yearsCRMAICloud computingSaaS
Skills:CommunicationCollaborationProblem-solving
Tech Stack:PythonSQLSparkAirflowDbtInformaticaAWSAzureGoogle CloudData CloudNoSQL

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