Manager, Salesforce Data Engineering

Job not on LinkedIn

🔥 21 minutes ago

🦬 Montana – Remote

🦬 Montana – Remote

💵 $139.6k - $357.5k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🌐👷 Salesforce Administrator

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Veeam Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

☁️ SaaS

🔒 Cybersecurity

🏢 Enterprise

💰 $500M Private Equity Round on 2019-01

SaaS • Cybersecurity • Enterprise

Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.

📋 Description

• Own and lead the Dual Org Sync workstream, the Salesforce-to-Salesforce integration between our two Salesforce orgs, 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 with strong data integrity and minimal business disruption. • 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, applying AI-powered tools and agentic approaches beyond basic chat use, to automate workflows, accelerate delivery, and strengthen data quality. • Improve platform health by simplifying data flows, reducing technical debt, strengthening data quality controls, and improving observability and supportability. • 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, while fostering a collaborative, inclusive team culture.

🎯 Requirements

• 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, including hiring, performance management, and career development. • Proven experience designing, delivering, and supporting integrations, migrations, transformations, reconciliations, and monitoring across Salesforce and enterprise systems; direct hands-on experience with Salesforce-to-Salesforce integrations and org-to-org data migrations strongly preferred. • Hands-on experience developing on the Salesforce platform (Apex, Lightning Components, Flow, and related tools), with strong expertise in Salesforce data modeling, SQL, SOQL, CPQ architectures, security, automation, platform design patterns, and data lifecycle management. • Experience with enterprise ETL or data movement tools, such as dbAmp or similar platforms. • Demonstrated, hands-on proficiency with cutting-edge AI technologies, such as building or deploying AI agents, LLM-powered automation, or applied AI/ML tooling in engineering workflows, beyond general-purpose chat usage. • Strong strategic prioritization and problem-solving skills, including triage, debugging, performance optimization, root cause analysis, and incident support. • Clear communication and collaboration skills, with the ability to influence technical direction and align senior stakeholders across technical and non-technical teams.

🏖️ Benefits

• Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents • Medical, dental, and vision coverage starting on your first day • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program • 401(k) retirement plan with company matching contributions • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time • AirVet: 24/7 virtual veterinary care at no cost • Legal services, identity protection, and supplemental health insurance options • Tax-advantaged spending accounts for healthcare, dependent care, and commuting • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning