Sr. Data & Platform Engineer – Financial Crimes

• Sr. Data & Platform Engineer Financial Crimes
• Overall engineering experience should be a minimum of 5 years of engineering experience

Location: Charlotte NC- will be remote to start but will be required to go onsite to uptown CLT office 3 days a week- Locals only

MUST BE ABLE TO PASS CODING & VIDEO ASSESSMENT

We are modernizing our Financial Crimes technology ecosystem transitioning from a legacy data environment to a cloud native platform on Google Cloud Platform (GCP). 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 (GCP).
• Migrate and modernize data from legacy Hadoop and mainframe systems into cloud-based solutions.
• Develop and optimize data warehouses using BigQuery and other GCP-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 (GCP)
• 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 GCP 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.