AML Data Architect

Job Title: AML Data Architect

Location: New York NY

Type: Full Time

Required Skills:

Our client is seeking a skilled AML (AntiMoney Laundering) Data Architect with a focus on building data pipelines managing transforming and organizing largescale datasets. The ideal candidate will have handson experience with Google Cloud Platform (GCP) product offerings and Google big data technologies.

Responsibilities:

1. Data Pipeline Development:

   • Design develop and implement robust data pipelines with a specific focus on AntiMoney Laundering data requirements.

2. AML Compliance:

   • Utilize expertise in AML regulations and compliance to architect data solutions that meet regulatory requirements.

3. GCP Expertise:

   • Demonstrate handson experience with GCP product offerings leveraging Google big data technologies to architect scalable and efficient data solutions.

4. Data Modeling:

   • Architect and implement effective data models to support AML analytics and reporting needs.

5. Collaboration:

   • Work closely with crossfunctional teams including data engineers analysts and compliance experts to understand AML data requirements and deliver effective solutions.

6. Performance Optimization:

   • Optimize data architectures for performance scalability and efficiency ensuring timely and accurate delivery of AMLrelated data to endusers.

7. Documentation:

   • Create and maintain comprehensive documentation for AML data architectures data flows and data models.

Requirements:

1. Experience:

   • Proven experience in building data pipelines and managing large datasets with a specific focus on AML data requirements.

2. AML Compliance Experience:

   • Strong background and experience in AML regulations compliance and data requirements.

3. Technical Skills:

   • Handson experience with GCP product offerings and Google big data technologies.

4. Collaboration Skills:

   • Excellent collaboration and communication skills to work effectively with crossfunctional teams including compliance experts.

5. ProblemSolving:

   • Analytical thinker with strong problemsolving abilities capable of designing and implementing innovative AML data solutions.

6. Adaptability:

   • Ability to adapt to evolving AML regulations business needs and technology landscapes.