Employee Success Lead Data Engineer

Salesforce Salesforce · Enterprise · Indianapolis, IN +2

Salesforce is seeking a Lead Data Engineer to build data pipelines, metrics, analytics solutions, and Agentic AI solutions. The role involves designing and optimizing data pipelines for analytics, AI models, and generative AI applications, architecting APIs for data exchange, leveraging AI/ML for data processing and automation, and implementing LLMs and generative AI solutions. Responsibilities include technical leadership in Salesforce technologies, data governance, cloud optimization, and collaborating with data scientists to deploy scalable models.

What you'd actually do

  1. Lead design, development, and optimization of data pipelines to support analytics, AI models, generative AI applications, and business intelligence.
  2. Architect and maintain APIs for seamless data exchange between systems, including Salesforce Data360 and Agentforce, enabling AI-powered workflows.
  3. Leverage AI and machine learning to enhance data processing, predictive analytics, and automation.
  4. Implement and integrate large language models (LLMs) and generative AI solutions to improve data insights, automated decision-making, and user experiences.
  5. Provide technical leadership in Salesforce technologies, including APEX code development, Salesforce Flow, and integrations with external data sources and AI services.

Skills

Required

  • SQL
  • Python
  • Informatica IICS
  • dbt
  • generative AI
  • LLMs
  • NLP
  • AI model deployment
  • RAG
  • vector databases
  • embedding models
  • Bash scripting
  • Apache Airflow
  • GIT
  • data warehousing
  • data modeling
  • API integration
  • data engineering concepts
  • database design
  • tools
  • architecture
  • collaboration with Analytics/Data Science teams
  • interpersonal skills
  • team-first mentality
  • self-starter
  • highly motivated
  • adapt quickly to shifting priorities
  • solve complex problems
  • results-oriented
  • work with minimal supervision

Nice to have

  • Salesforce Data360
  • Agentforce
  • APEX code development
  • Salesforce Flow
  • AWS technologies (EC2, Aurora, Lambda, S3)
  • Snowflake
  • People Analytics

What the JD emphasized

  • AI CRM
  • Agentforce
  • AI-driven data initiatives
  • AI and machine learning
  • generative AI
  • LLMs
  • RAG
  • vector databases
  • embedding models
  • AI model training and inference

Other signals

  • AI CRM
  • Agentforce
  • AI-driven data initiatives
  • AI and machine learning
  • generative AI
  • LLMs
  • RAG
  • vector databases
  • embedding models
  • AI model training and inference