Data and Platform engineer- – Financial Crimes Detection

Job Description

We are modernizing our Financial Crimes technology ecosystem, transitioning from a legacy data environment to a cloud‑native platform on Google Cloud Platform (Google Cloud Platform). This role will support the development of a modern data and platform foundation used for financial crimes detection, investigation, and regulatory reporting across multiple businesses.

You will play a key role in building scalable data pipelines, modernizing data warehousing, and supporting real‑time transactional systems that power critical Financial Crimes use cases.

Key Responsibilities

• Design, build, and maintain a modern Financial Crimes data and platform architecture on Google Cloud Platform (Google Cloud Platform).
• Migrate and modernize data from legacy Hadoop and mainframe systems into cloud-based solutions.
• Develop and optimize data warehouses using BigQuery and other Google Cloud Platform-native services.
• Build and maintain Python-based data pipelines supporting analytics, detection, and reporting use cases.
• Support a real-time, transactional platform leveraging Hydra / PostgreSQL for operational Financial Crimes workflows.
• Collaborate with engineering, product, and compliance teams across multiple companies to deliver end-to-end Financial Crimes solutions.
• Contribute to the development of a new UI platform as part of the broader modernization initiative.
• Ensure data reliability, scalability, security, and performance to meet regulatory and audit requirements.
• Participate in platform and architectural decisions as the organization evaluates tooling strategy and talent models.

Technology Stack

• Cloud Platform: Google Cloud Platform (Google Cloud Platform)
• Data & Analytics: BigQuery, data warehouse modernization tools
• Programming: Python
• Transactional Systems: Hydra, PostgreSQL
• Legacy Systems: Hadoop, mainframe (modernization and migration focus)

Required Qualifications

• Strong experience building data platforms or data engineering solutions in cloud environments.
• Hands-on experience with Google Cloud Platform, particularly BigQuery and related services.
• Proficiency in Python for data processing and pipeline development.
• Experience working with relational databases such as PostgreSQL.
• Background supporting or modernizing legacy data platforms (e.g., Hadoop, mainframe).
• Ability to work across teams and companies in a complex, regulated environment.

Preferred Qualifications

• Experience in Financial Crimes, Risk, Compliance, or Regulatory Reporting domains.
• Familiarity with real-time or near‑real‑time data processing systems.
• Exposure to building or supporting cloud-based UI platforms.
• Experience designing platforms that support detection, investigation, and reporting workflows.

Business Context

• Work spans across a mix of companies and stakeholders.
• All development ties directly to Financial Crimes detection, analytics, and regulatory reporting.
• This role supports a long-term transformation from legacy infrastructure to a modern, scalable cloud-based platform.