JOB SUMMARY:

We are seeking a Salesforce Data Engineer with at least 5+ years of experience in data engineering, data architecture, and enterprise integration. This role requires a strong understanding of Salesforce platform architecture, including hands-on experience with Salesforce AgentForce and Data Cloud. The ideal candidate will be responsible for designing scalable data models, building efficient data pipelines, and integrating diverse data sources with the Salesforce ecosystem.

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in a data engineering role, with a focus on integration and data architecture.
• Direct experience with ETL tools such as Talend, Informatica, MuleSoft, or custom-built solutions.
• Strong background in Salesforce platform engineering, including use of AgentForce and Data Cloud.
  Transitioning military and/or Veterans with IT/IS, finance, and/or healthcare systems specialties are invited to apply. Sprezzatura is an equal opportunity employer and offers benefits including healthcare and paid vacation time.

COMPANY DESCRIPTION

Sprezzatura (www.sprezzmc.com) is a Washington, DC-area Service-Disabled Veteran-Owned Small Business (SDVOSB) that enables client success by supplying insight and leadership at the intersection of people, processes, and technology

• Design, develop, and maintain robust data models within Salesforce, ensuring data integrity and optimal performance.
• Architect scalable and secure data integration strategies between Salesforce and external systems.
• Design and implement data categorization strategies using metadata management tools to support data governance and discoverability.
• Build, automate, and optimize ETL pipelines and data workflows using tools like Talend, Informatica, MuleSoft, or custom scripts (e.g., Python or Java).
• Leverage Salesforce APIs to extract, transform, and load data programmatically.
• Collaborate with Salesforce developers, data analysts, and business stakeholders to define and implement integration and data strategies.
• Maintain technical documentation for data architecture, pipelines, and operational procedures.
• Ensure compliance with data governance, security, and regulatory standards.
• Contribute to the performance tuning, debugging, and continuous optimization of data systems.
• Stay current with Salesforce platform updates, data engineering best practices, and emerging technologies.