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Data Architect

Salary undisclosed

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Data Architect Risk & Compliance, Sanctions Screening, and AML

We are seeking a Data Architect with expertise in Risk & Compliance, Sanctions Screening, and Anti-Money Laundering (AML) to lead the design and development of scalable data solutions that support financial crime detection and regulatory compliance.

Hands on Data Architecture (recent 4 years)

Big Data

Risk & Compliance background

AML

Sanctions

Background is related to Data transformation projects and has extensive financial domain background.

Heavy client facing role/excellent communication.

Big Data & Cloud Strategy

  • Architect and implement big data solutions using Apache Spark, Hadoop, Databricks, or Snowflake.
  • Leverage cloud platforms (AWS, Azure, Google Cloud Platform) for data storage, transformation, and analytics, integrating services like AWS Glue, Redshift, Synapse, or BigQuery.
  • Design real-time streaming data architectures using Kafka, Flink, or similar technologies for fraud detection and compliance monitoring.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Data Architect Risk & Compliance, Sanctions Screening, and AML

We are seeking a Data Architect with expertise in Risk & Compliance, Sanctions Screening, and Anti-Money Laundering (AML) to lead the design and development of scalable data solutions that support financial crime detection and regulatory compliance.

Hands on Data Architecture (recent 4 years)

Big Data

Risk & Compliance background

AML

Sanctions

Background is related to Data transformation projects and has extensive financial domain background.

Heavy client facing role/excellent communication.

Big Data & Cloud Strategy

  • Architect and implement big data solutions using Apache Spark, Hadoop, Databricks, or Snowflake.
  • Leverage cloud platforms (AWS, Azure, Google Cloud Platform) for data storage, transformation, and analytics, integrating services like AWS Glue, Redshift, Synapse, or BigQuery.
  • Design real-time streaming data architectures using Kafka, Flink, or similar technologies for fraud detection and compliance monitoring.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job