Manager, Salesforce Data Engineering
New
V
Veeam SoftwareData and AI
Remote, United StatesFull-TimeManager
SalaryZone 1: $192,500 – $357,500 USD; Zone 2: $176,500 – $327,800 USD; Zone 3: $160,500 – $298,000 USD; Zone 4: $139,600 – $259,300 USD
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Job Details
- Experience
- 8+ years in software/data engineering, 4+ years on Salesforce, 2+ years of people management
- Required Skills
- ETLSalesforceData modeling
Requirements
- 8+ years of experience in software or data engineering.
- 4+ years of hands-on experience developing on the Salesforce platform.
- 2+ years of people management experience leading engineering teams.
- Proven experience with Salesforce-to-Salesforce integrations and org-to-org data migrations.
- Strong expertise in Salesforce data modeling, Apex, Lightning Components, Flow, SOQL, and CPQ architectures.
- Experience with enterprise ETL or data movement tools such as dbAmp.
- Demonstrated proficiency with cutting-edge AI technologies (AI agents, LLM-powered automation).
- Salesforce Administrator, Platform App Builder, or Salesforce Platform Developer certification.
- Strong strategic prioritization, debugging, and incident support skills.
- Bachelor’s degree in Computer Science, Information Systems, or related field preferred.
Responsibilities
- Lead and manage a team of engineers, covering hiring, performance management, and career development.
- Own and execute the Dual Org Sync Salesforce-to-Salesforce integration.
- Lead complex Salesforce-to-Salesforce data migration efforts with strong data integrity.
- Design and support scalable, secure, and maintainable Salesforce data solutions.
- Translate business needs into technical plans across data modeling, integrations, and automation.
- Champion the use of AI technologies and agentic approaches to automate workflows and improve data quality.
- Partner with stakeholders across product, engineering, and QA to align priorities.
- Create and maintain documentation for data models and system relationships.
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