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 q
📌 Data Engineer (None)
🏢 Haystack
📍 None