Job Summary
We are seeking a Senior Salesforce Integration & Data Engineer based in Phoenix to lead a digital transformation project focused on modernizing data integration between core source systems and Salesforce. This hybrid role requires designing and implementing scalable, real-time and batch data pipelines, decommissioning legacy SQL layers, and optimizing platform performance to ensure data integrity and efficient API usage.
Responsibilities
- Analyze and phase out existing intermediate SQL relational databases serving as staging layers between source systems and Salesforce.
- Architect, develop, and deploy robust direct APIs (REST/SOAP) and event-driven integration patterns connecting upstream systems directly to Salesforce.
- Configure and maintain integration middleware platforms such as MuleSoft, Dell Boomi, Celigo, or Azure Data Factory for data orchestration and transformation.
- Rewrite complex SQL stored procedures, views, and ETL logic into scalable Apex code, middleware logic, or declarative Salesforce flows.
- Design Salesforce data models to handle large data volumes with strategies to maintain system performance.
- Implement end-to-end exception logging and data reconciliation mechanisms to automatically identify and resolve synchronization failures.
- Develop custom asynchronous Apex code, Triggers, and Lightning Web Components as needed for data intake solutions.
- Optimize Salesforce environment to prevent API throttling, row-locking issues, and governor limit breaches through batching and queuing strategies.
Required Skills & Certifications
- Proven expertise in Salesforce integration and data engineering.
- Experience with REST and SOAP APIs and event-driven architecture.
- Strong skills in Apex programming, Salesforce Triggers, and Lightning Web Components.
- Familiarity with middleware platforms such as MuleSoft, Dell Boomi, Celigo, or Azure Data Factory.
- Ability to rewrite and optimize complex SQL procedures and ETL processes for Salesforce environments.
- Experience designing data models for large data volumes within Salesforce.
- Knowledge of Salesforce governor limits and optimization techniques.
- Must pass background checks and drug screenings as required.
- Candidate must be located in Phoenix and available for in-person interviews and start within two weeks of offer.
Preferred Skills & Certifications
- Experience with data governance and automated reconciliation mechanisms.
- Familiarity with declarative Salesforce flows and middleware logic design.
- Prior experience in decommissioning legacy database layers in integration projects.
Special Considerations
- Position is local only to Phoenix, Arizona.
- Must be able to attend in-person interviews within one week of posting close date.
- Background checks and drug screenings through HireRight are mandatory.
- Hybrid work schedule with 3 days required in the office.
- Compliance with state agency hiring protocols and purchase order issuance is required.
Scheduling
- Hybrid schedule: 3 days per week in the office, remainder remote.
- Position start date is approximately October 5, 2026, with an expected end date of December 31, 2026.