Software Development Engineer, Salesforce
New
Based in the United StatesFull-TimeSenior
Salary117,500 - 270,000 USD per year
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Job Details
- Experience
- 6+ years
- Required Skills
- SQLETLSalesforceData modeling
Requirements
- 6+ years of experience in enterprise data engineering, Salesforce engineering, Salesforce administration, or related technical field.
- Strong expertise in Salesforce data modeling, SQL, SOQL, security, automation, platform architecture, and data lifecycle management.
- Deep understanding of Salesforce architecture, enterprise integrations, data movement, and secure system interoperability.
- Experience designing and supporting data integrations, migrations, transformations, reconciliations, and operational monitoring.
- Experience working with enterprise-grade ETL tools such as dbAmp or similar technologies.
- Strong problem-solving skills with experience in debugging, performance optimization, incident resolution, and technical troubleshooting.
- Ability to influence technical direction and collaborate with technical and non-technical stakeholders.
- Salesforce Advanced Administrator, Platform App Builder, or architect certification required.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Engineering, or related field preferred.
Responsibilities
- Design, develop, and maintain advanced Salesforce data solutions with a focus on scalability, reliability, security, performance, and data integrity.
- Lead complex technical initiatives by translating business requirements into resilient architectures, data flows, implementation strategies, and long-term solutions.
- Serve as a senior technical contributor for Salesforce platforms, solving complex data challenges across modeling, automation, integration, and governance.
- Build and support integrations between Salesforce and external enterprise systems, ensuring performance, error handling, and observability.
- Develop and manage data migration, transformation, enrichment, and validation processes.
- Improve platform health by identifying technical debt and implementing architectural enhancements.
- Partner with product teams, business stakeholders, and data specialists to define solutions and manage dependencies.
- Perform troubleshooting, performance optimization, and root cause analysis for high-impact platform issues.
- Mentor engineers and administrators through technical guidance, design reviews, and knowledge sharing.
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