This role is with a global advisory and technology services provider that combines unmatched expertise with cutting-edge technology to help clients solve their most complex challenges and shape the future. They focus on large-scale modernization of legacy systems, migrating significant data into cloud environments, and transforming document-heavy workflows into structured digital processes.

The Role

- Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation.

- Analyze and convert unstructured, document-heavy data into structured, analytics-ready formats using Document AI.

- Implement data quality processes (cleansing, deduplication, reconciliation) to ensure accuracy and completeness post-migration.

- Design, build, and maintain MuleSoft integrations, including API development for real-time and batch data exchange.

- Contribute to Salesforce Data 360 implementation, ensuring data harmonization and unified profiles.

- Ensure compliance with data governance, privacy, and security requirements, particularly for sensitive data.





What You'll Need

- U.S. Citizenship required due to federal contract requirements.

- Ability to obtain and maintain a Public Trust clearance; must have lived in the U.S. for three (3) full years out of the last five (5) years.

- 6+ years of experience in data engineering, data migration, or data integration roles.

- Proven experience executing large-scale data migration efforts, including legacy system transformation.

- 2+ years hands-on experience with Salesforce data migrations, including data modeling and data loading.

- 2+ years' experience implementing data quality, validation, and reconciliation processes during migration efforts.

What's On Offer

- Opportunity to work on mission-critical enterprise platforms.

- Contribution to enhanced analytics, reporting, and operational efficiency.

- Collaborative agile team environment.

- Competitive salary based on experience and qualifications.

Apply via Haystack today!

📌 Data Engineer (Italia)
🏢 Haystack
📍 Italia