Lead Data Engineer (Lead Member of Technical Staff)

Salesforce
Mexico City
Workplace: HybridFull timeFunction: Administration & Executive AssistanceExperience: 8+ yearsSkills: ["Python","SQL","Spark","Airflow","Dbt","Informatica","AWS","Azure","Google Cloud","Data Cloud","NoSQL","GitHub Copilot","Claude Code","Codex","Cursor"]

Lead data engineering for Salesforce's Customer Success Data Platform, building scalable data pipelines and AI-enabled data systems. Collaborate with cross-functional teams to modernize data architecture, implement robust retrieval and identity graphs, and ensure data quality and real-time insights for AI-driven agents. Drive production-grade software delivery, leverage Python, SQL, Spark, and cloud data solutions, and partner with Decision Scientists and PMs to translate complex needs into scalable solutions.

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FursaFursa
Salesforce
Salesforce
3 months ago

Lead Data Engineer (Lead Member of Technical Staff)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Lead data engineering for Salesforce's Customer Success Data Platform, building scalable data pipelines and AI-enabled data systems. Collaborate with cross-functional teams to modernize data architecture, implement robust retrieval and identity graphs, and ensure data quality and real-time insights for AI-driven agents. Drive production-grade software delivery, leverage Python, SQL, Spark, and cloud data solutions, and partner with Decision Scientists and PMs to translate complex needs into scalable solutions.
Location: Mexico City
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Design and implement robust retrieval systems to enable AI agents to perform complex retrievals across the Salesforce data ecosystem.
  • •Partner with Decision Scientists to build infrastructure required for attribution and causal modeling.
  • •Build on top of identity graphs with structured, unstructured, and real-time insights for Agentic systems.
  • •Modernize data architecture and catalog for AI consumption and human augmentation, emphasizing precision and scale.
  • •Automate data delivery pipelines and ensure seamless integration between internal databases, third-party APIs, and the AI orchestration layer.

Key Requirements

  • •8+ years of experience as a Data Engineer or in a similar role.
  • •Proficiency in data engineering tools and languages, such as 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).
  • •Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
Experience:8+ years
Skills:PythonSQLSparkAirflowDbtInformaticaAWSAzureGoogle CloudData CloudNoSQLGitHub CopilotClaude CodeCodexCursor
Tech Stack:PythonSQLSparkAirflowDbtInformaticaAWSAzureGoogle CloudNoSQLGitHub CopilotClaude CodeCodexCursor

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