Vice President, Data Engineer

A financial services company is actively seeking an experienced Data Engineer to lead the their Anti-Money Laundering (AML) & Anti-Fraud Implementation capabilities within Palantir Foundry. As the technical subject matter expert for Palantir Foundry, this leader will spearhead implementation, maintenance, and enhancement of rule-based and data-driven AML detection pipelines while developing team capabilities through knowledge transfer and structured training.

Responsibilities:

• Design and deliver comprehensive training programs to rapidly upskill team members in Foundry tools including Code Workbooks, Object Builders, and Pipeline Workflows
• Lead technical design reviews and provide architectural guidance for implementation of complex AML detection scenarios
• Serve as a trusted technical authority on Palantir Foundry setting standards and best practices for development
• Develop and maintain comprehensive documentation and knowledge repositories for Foundry implementation
• Implement business provided technical detection logic, supporting both rule-based and advanced data-driven use cases
• Establish frameworks that enable scalable scenario implementation across the team
• Lead the implementation of reusable components and patterns for data enrichment, feature engineering, and temporal analysis
• Define standards for pipeline efficiency and maintainability
• Develop and maintain pipelines for data enrichment, feature engineering, and temporal analysis of financial behavior
• Establish testing methodologies to validate correct implementation of scenario logic, pipeline outputs, and transformations
• Oversee implementation quality and testing
• Implement quality metrics and monitoring systems for AML detection pipelines
• Monitor pipeline execution, resolve data processing issues, and optimize Spark-based workflows for performance and reliability.
• Maintain clear, version-controlled documentation as it relates to implementation of AML scenarios and associated data flows
• Work cross-functionally with Investigations, BSA/AML Compliance, and Data Governance teams to ensure alignment with regulatory and operational standards
• Serve as L2 support for AML scenario pipelines and address issues raised by analysts or engineering operations
• Participate in platform enhancement efforts related to AML & Anti-Fraud implementation, rule authoring frameworks, and investigation tooling

Qualifications:

• 7 years of technical experience with demonstrated ability to lead engineering teams and mentor junior engineers
• Demonstrated expertise developing within Foundry using Pipelines, Code Workbooks (Python, PySpark, SQL), Object Builder, and Ontology, with the ability to train others effectively
• Proven track record of developing and delivering technical training that accelerates team capabilities
• Experience designing scalable data architectures that support complex business requirements
• Expert-level experience with Spark, PySpark, and SQL for large-scale data transformation and analysis
• Ability to translate business requirements into technical solutions while anticipating future needs
• Outstanding communication skills with the ability to effectively engage stakeholders at all levels

Desired Skills:

• Prior experience supporting AML detection system in Foundry
• Solid understanding of AML typologies (e.g., structuring, layering, smurfing) and experience operationalizing AML scenarios in a production system
• Experience integrating alert outputs with case management tools
• Experience designing training programs for complex technical platforms
• Exposure to anomaly detection and machine learning-based alerting techniques