Salesforce

Employee Success Lead – Data Engineer

Salesforce

full-time

Posted on:

Location Type: Hybrid

Location: Indianapolis • Texas • United States

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Job Level

Senior

Tech Stack

AirflowApacheAWSCloudEC2InformaticaPythonSQL

About the role

  • Lead design, development, and optimization of data pipelines to support analytics, AI models, generative AI applications, and business intelligence
  • Architect and maintain APIs for seamless data exchange between systems, including Salesforce Data360 and Agentforce, enabling AI-powered workflows
  • Leverage AI and machine learning to enhance data processing, predictive analytics, and automation
  • Implement and integrate large language models (LLMs) and generative AI solutions to improve data insights, automated decision-making, and user experiences
  • Provide technical leadership in Salesforce technologies, including APEX code development, Salesforce Flow, and integrations with external data sources and AI services
  • Collaborate cross-functionally to implement data governance, security, and compliance best practices
  • Optimize data storage, processing, and retrieval in cloud environments, ensuring performance and scalability
  • Provide guidance on Salesforce Data360 integration and utilization
  • Partner with ES teams to define metrics, build proof-of-concepts, and document functional and technical requirements
  • Design and develop repeatable automation frameworks supporting AI model training and inference
  • Lead review and validation of logical and physical design to align with solution architecture
  • Collaborate with data scientists to support data needs and deploy scalable models
  • Lead and collaborate with global teams across North America, EMEA, and APAC

Requirements

  • Bachelor’s degree in Computer Science or relevant work experience
  • 10+ years in data engineering, data modeling, machine learning, automation, and analytics
  • People Analytics experience is a plus
  • Proficiency with SQL, Python, Informatica IICS, and dbt
  • Strong expertise in AI/ML, including generative AI, LLMs, NLP, and AI model deployment
  • Experience designing AI-driven solutions, including RAG, vector databases, and embedding models
  • Proficiency in SQL, Bash, and Python scripting
  • Experience with orchestration tools (e.g., Apache Airflow) and version control (GIT)
  • Solid understanding of data warehousing and data modeling concepts
  • Experience integrating systems through APIs
  • Experience with AWS technologies (EC2, Aurora, Lambda, S3) preferred
  • Experience with Salesforce Data360 and Snowflake or similar platforms preferred
  • Deep understanding of data engineering concepts, database design, tools, and architecture
  • Experience collaborating with Analytics/Data Science teams
  • Excellent interpersonal skills; team-first mentality
  • Self-starter, highly motivated, able to adapt quickly to shifting priorities and solve complex problems
  • Results-oriented, able to work with minimal supervision
Benefits
  • time off programs
  • medical
  • dental
  • vision
  • mental health support
  • paid parental leave
  • life and disability insurance
  • 401(k)
  • employee stock purchasing program
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata modelingmachine learningautomationanalyticsSQLPythonInformatica IICSdbtAPI integration
Soft Skills
interpersonal skillsteam-first mentalityself-starterhighly motivatedadaptabilityproblem-solvingresults-orientedcollaboration
Certifications
Bachelor’s degree in Computer Science