

Data Engineer / Architect – Financial Crime
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer/Architect focused on Financial Crime, requiring 6+ months in Mount Laurel, NJ. Key skills include Azure expertise, AML knowledge, and experience in regulated sectors. Candidates must work onsite at least 4 days per week.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date discovered
August 26, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
📄 - Contract type
W2 Contractor
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Mount Laurel, NJ
-
🧠 - Skills detailed
#Data Management #Data Engineering #AI (Artificial Intelligence) #Data Quality #Scala #Collibra #Informatica PowerCenter #Microsoft Azure #Data Modeling #Datasets #Informatica #MDM (Master Data Management) #Compliance #Azure #Databricks #BI (Business Intelligence) #Metadata #Data Architecture
Role description
Data Engineer / Architect – Financial Crime
Location: Mount Laurel, NJ – Minimum 4 Days Onsite per Week
Duration: 6+ Month Rolling Contract (Current End Date: 4/30/2026)
Interview Process: 2 Rounds of On-site Interviews
Overview
We are seeking a highly technical, hands-on Data Architect to support the Financial Crimes division, with a primary focus on building enterprise-grade data solutions for anti-money laundering (AML) and regulatory compliance initiatives.
This role demands deep expertise in Azure data architecture, a strong understanding of financial crime frameworks, and proven experience operating in regulated environments such as Payments, Payroll, Wealth Management, Crypto, Commercial Lending, Investment Banking, or similar sectors. Candidates from non-bank institutions are encouraged to apply if they have substantial experience in highly regulated industries and a clear understanding of the financial regulatory landscape.
Highly skilled Data Engineers with architectural experience will also be considered, provided they meet all core technical and compliance requirements.
Key Responsibilities
• Architect and implement scalable, secure data platforms and pipelines using Microsoft Azure
• Design and build data products to support enterprise-wide adoption and Data Mesh architecture
• Implement Master Data Management (MDM) solutions with Informatica and establish governance frameworks using Collibra
• Collaborate with stakeholders to deliver AI, BI, analytics, and reporting solutions for AML and other financial crime use cases
• Translate complex compliance and regulatory requirements into practical data architecture solutions
• Ensure alignment with enterprise standards, focusing on data quality, lineage, and governance across domains
• Support data modeling, metadata management, and the creation of governed datasets for AML and compliance teams
Required Qualifications
• Proven experience in regulated industries such as Payments, Payroll, Crypto, Commercial Lending, Investment Banking, or other compliance-driven sectors
• Hands-on expertise in Microsoft Azure (required)
• Strong knowledge of AML and Financial Crimes (required)
• Experience with Informatica PowerCenter, MDM, and Collibra (highly preferred)
• Familiarity with Data Mesh concepts and distributed data platforms
• Databricks experience is a plus (not required)
• Ability to translate compliance objectives into scalable, practical data architecture
• Willingness and ability to work onsite in Mount Laurel, NJ at least 4 days per week
• Comfort working within the defined compensation structure
Data Engineer / Architect – Financial Crime
Location: Mount Laurel, NJ – Minimum 4 Days Onsite per Week
Duration: 6+ Month Rolling Contract (Current End Date: 4/30/2026)
Interview Process: 2 Rounds of On-site Interviews
Overview
We are seeking a highly technical, hands-on Data Architect to support the Financial Crimes division, with a primary focus on building enterprise-grade data solutions for anti-money laundering (AML) and regulatory compliance initiatives.
This role demands deep expertise in Azure data architecture, a strong understanding of financial crime frameworks, and proven experience operating in regulated environments such as Payments, Payroll, Wealth Management, Crypto, Commercial Lending, Investment Banking, or similar sectors. Candidates from non-bank institutions are encouraged to apply if they have substantial experience in highly regulated industries and a clear understanding of the financial regulatory landscape.
Highly skilled Data Engineers with architectural experience will also be considered, provided they meet all core technical and compliance requirements.
Key Responsibilities
• Architect and implement scalable, secure data platforms and pipelines using Microsoft Azure
• Design and build data products to support enterprise-wide adoption and Data Mesh architecture
• Implement Master Data Management (MDM) solutions with Informatica and establish governance frameworks using Collibra
• Collaborate with stakeholders to deliver AI, BI, analytics, and reporting solutions for AML and other financial crime use cases
• Translate complex compliance and regulatory requirements into practical data architecture solutions
• Ensure alignment with enterprise standards, focusing on data quality, lineage, and governance across domains
• Support data modeling, metadata management, and the creation of governed datasets for AML and compliance teams
Required Qualifications
• Proven experience in regulated industries such as Payments, Payroll, Crypto, Commercial Lending, Investment Banking, or other compliance-driven sectors
• Hands-on expertise in Microsoft Azure (required)
• Strong knowledge of AML and Financial Crimes (required)
• Experience with Informatica PowerCenter, MDM, and Collibra (highly preferred)
• Familiarity with Data Mesh concepts and distributed data platforms
• Databricks experience is a plus (not required)
• Ability to translate compliance objectives into scalable, practical data architecture
• Willingness and ability to work onsite in Mount Laurel, NJ at least 4 days per week
• Comfort working within the defined compensation structure