Description
Job Summary
This role supports the large-scale modernization of legacy systems by leading the migration of over 10TB of documentation and records into a cloud-based environment. The position focuses on transforming document-heavy workflows into structured, digital processes, while enabling seamless data integration across systems using MuleSoft APIs. The work directly supports enhanced analytics, reporting, and operational efficiency for a mission-critical enterprise platform.
Responsibilities
Lead end-to-end data migration from legacy systems to cloud platforms, including data mapping, transformation, and validation (Salesforce-centric).
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.
Support phased migration and system cutover with minimal operational disruption.
Design, build, and maintain MuleSoft integrations, including API development for real-time and batch data exchange.
Apply data transformation logic (e.g., DataWeave) and troubleshoot integration/data flow issues across systems.
Contribute to Salesforce Data 360 implementation, including data harmonization, identity resolution, and unified profiles.
Ensure proper data ingestion, lineage, metadata management, and traceability across the ecosystem.
Ensure compliance with data governance, privacy, and security requirements (e.g., PII).
Collaborate in Agile teams; support testing, documentation, and audit readiness across migration and integration efforts.
Required Qualifications
U.S. Citizenship required due to federal contract requirements
Ability to obtain and maintain a Public Trust clearance
Candidate 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, data loading (e.g., Data Loader, APIs), and managing relational datasets
2+ years' experience implementing data quality, validation, and reconciliation processes during migration efforts
Preferred Qualifications
Current or recent Public Trust or active Secret clearance
Experience supporting DHS or other federal agencies
1+ year Experience using Informatica (e.g., PowerCenter, IICS) for ETL/ELT development, data mapping, and pipeline orchestration
2+ years proficiency in SQL and relational data modeling concepts
Experience working with both structured and unstructured data, including document-based records
1+ year Experience supporting or developing MuleSoft integrations, including API development, data transformations, and system-to-system data flows
1+ years experience with MuleSoft Anypoint Platform, including DataWeave and API-led connectivity patterns
Familiarity with cloud-based SaaS platforms and distributed data architectures
Familiarity with metadata management, data lineage, and audit frameworks
Experience working in federal or highly regulated environments
Experience supporting Agile delivery teams and cross-functional collaboration
Experience supporting large-scale, document-centric system migrations
Familiarity with Docusign eSignature and Contract Lifecycle Management (CLM) products a plus
Experience with Salesforce Data 360 (Data Cloud), including data harmonization and identity resolution
Experience with Salesforce Document AI / Intelligent Document Processing (IDP) tools for extracting structured data from documents
Understanding of data governance, security, and compliance requirements, particularly for sensitive data (e.g., PII)
Working at ICF
ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email [email protected] and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [email protected]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$98,614.00 - $167,644.00
Nationwide Remote Office (US99)
