Manager, Salesforce Data

Role Description

The Manager, Salesforce Data Engineering leads a team of Salesforce system engineers responsible for building and supporting reliable, secure, and scalable data solutions across Salesforce and connected enterprise systems. This role will immediately own two critical workstreams: Dual Org Sync and Data Migration, while managing, mentoring, and growing the engineers who deliver them. The ideal candidate combines hands-on Salesforce platform development and integration experience with proven team leadership and is fluent in applying cutting-edge AI technologies to real engineering work.

What You’ll Do

• Own and lead the Dual Org Sync workstream, ensuring reliable, secure, and scalable data flow across systems.
• Own and lead the Data Migration workstream, driving Salesforce-to-Salesforce migration efforts from planning through cutover.
• Lead the design, delivery, and support of Salesforce data solutions that are scalable, reliable, secure, and maintainable.
• Translate business needs into practical technical plans across data modeling, integrations, migrations, transformations, automation, and operational support.
• Lead and manage a team of engineers, including hiring, onboarding, workforce planning, regular feedback, performance management, and career development.
• Partner with product, business stakeholders, engineering, QA, data warehouse, and data quality teams to align priorities, manage risk, and deliver successful outcomes.
• Champion the adoption of cutting-edge AI technologies within the team to automate workflows, accelerate delivery, and strengthen data quality.
• Improve platform health by simplifying data flows, reducing technical debt, and strengthening data quality controls.
• Guide technical decisions through design reviews, code and automation reviews, troubleshooting, and knowledge sharing.
• Create and maintain documentation for data models, system relationships, data flows, dependencies, support procedures, and operational considerations.

Qualifications

• 8+ years of experience in software/data engineering, with 4+ years developing on the Salesforce platform.
• 2+ years of people management experience leading data engineering or Salesforce engineering teams.
• Proven experience designing, delivering, and supporting integrations, migrations, transformations, reconciliations, and monitoring across Salesforce and enterprise systems.
• Hands-on experience developing on the Salesforce platform (Apex, Lightning Components, Flow, and related tools).
• Experience with enterprise ETL or data movement tools, such as dbAmp or similar platforms.
• Demonstrated proficiency with cutting-edge AI technologies, such as building or deploying AI agents.
• Strong strategic prioritization and problem-solving skills.
• Clear communication and collaboration skills.

Bonus Skills

• Salesforce Administrator, Platform App Builder, or Salesforce Platform Developer certifications required.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field preferred.
• Demonstrated application of AI/agentic tooling in professional projects strongly preferred.

Company Description

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide.