Description

You will lead the design, development, and deployment of MDM solutions, focusing on financial data domains.

Responsibilities

• Architect and present end-to-end MDM architectures ensuring scalability, data quality, and governance.
• Implement data integration pipelines using modern data engineering tools and practices.
• Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer.
• Build and optimize data processing solutions using Kafka, Databricks, Snowflake, and Azure Data Factory.
• Design microservices, particularly utilizing GraphQL, to provide flexible data services.

Required Skills

• 12+ years of experience in data engineering, with a track record in MDM implementations.
• Expertise in Python, PySpark, Kafka, Databricks, Snowflake, and SQL.
• Hands-on experience designing and deploying MDM solutions and comparing platform options (e.g., Informatica, Talend).
• Strong functional knowledge of reference data sources and domain-specific data standards.
• Experience with microservices architecture, specifically GraphQL.
• Familiarity with CI/CD practices and automation pipelines.
• Experience with financial systems such as capital markets or credit risk applications.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree