AVP, Data Engineer, Palantir

6 Days Old

Join to apply for the AVP, Data Engineer, Palantir role at Cross River Join to apply for the AVP, Data Engineer, Palantir role at Cross River Get AI-powered advice on this job and more exclusive features. Who We Are Cross River is a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. Cross River is backed by leading investors and serves the world's most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion. Who We Are Cross River is a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. Cross River is backed by leading investors and serves the world's most essential fintech and technology companies. Together with its partners, Cross River is reshaping global finance and financial inclusion. We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. While our company has tripled in size over the last three years, our strong sense of purpose led Cross River to be named to American Banker's list of Best Places to Work in Fintech for the last 6 years. The reason for this success is simple - our nimble and collaborative family culture lives in every member of our growing team. Together we are at the forefront of technology and innovation, and we invite passionate, collaborative, and motivated high performers to join our expanding team. About Our Team Cross River's team is made up of problem solvers hungry to build and perfect new products and systems. We work with team members in most US time zones. Although we are in separate places, we still make space to know one another and have fun! We collaborate, help and mentor each other, and check in on our progress and blocks frequently. We work together primarily with Confluence, GitHub, JIRA, and Teams. What We're Looking For We are seeking an experienced Assistant Vice President, Data Engineer - Palantir to lead our AML (Anti-Money Laundering) & 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 . This role requires exceptional technical expertise coupled with the ability to rapidly train and mentor team members in Foundry's tools and methodologies . You will collaborate with compliance analysts, data modelers, data engineers and platform engineers to architect and operationalize AML logic using Palantir's object-based, scalable architecture. Role and Responsibilities: Technical Leadership & Expertise 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 Cross-Functional Knowledge Transfer Develop and maintain comprehensive documentation and knowledge repositories for Foundry implementation Design and implement formal knowledge transfer sessions to rapidly build team capabilities in Foundry tools Implementation Collaborate with Compliance and Product teams to implement, and maintain AML monitoring scenarios in Foundry using Code Workbooks, Object Builders, and Pipeline Workflows. 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 Data Pipeline Design & Transformation Lead the implementation of reusable components and patterns for data enrichment, feature engineering, and temporal analysis Define standards for pipeline efficiency and maintainability Work within Foundry's Ontology framework to model key AML entities such as customers, transactions, accounts, and alerts. Develop and maintain pipelines for data enrichment, feature engineering, and temporal analysis of financial behavior. Testing & Quality Assurance Establish testing methodologies to validate correct implementation of scenario logic, pipeline outputs, and transformations Oversee implementation quality and testing. In collaboration with QA and Compliance stakeholders to verify accuracy, edge cases, and scenario coverage Implement quality metrics and monitoring systems for AML detection pipelines Monitoring & Performance Optimization Monitor pipeline execution, resolve data processing issues, and optimize Spark-based workflows for performance and reliability. Stakeholder Engagement & Documentation 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. Platform Support 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. Required Skills & Experience: Palantir Foundry Mastery: Demonstrated expertise developing within Foundry using Pipelines, Code Workbooks (Python, PySpark, SQL), Object Builder, and Ontology, with the ability to train others effectively Technical Training Experience: Proven track record of developing and delivering technical training that accelerates team capabilities Enterprise Architecture: Experience designing scalable data architectures that support complex business requirements Advanced Big Data Processing: Expert-level experience with Spark, PySpark, and SQL for large-scale data transformation and analysis Leadership & Mentorship: 7+ years of technical experience with demonstrated ability to lead engineering teams and mentor junior engineers Strategic Thinking: Ability to translate business requirements into technical solutions while anticipating future needs Communication Excellence: Outstanding communication skills with the ability to effectively engage stakeholders at all levels Other Skills: Prior experience supporting AML detection system in Foundry. AML Knowledge: 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. Salary Range: $180,000.00 - $200,000.00 Cross River is an Equal Opportunity Employer. Cross River does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. By submitting your application, you give Cross River permission to email, call, or text you using the contact details provided. We will only contact you with job related information. Seniority level Seniority level Executive Employment type Employment type Full-time Job function Job function Other Referrals increase your chances of interviewing at Cross River by 2x Sign in to set job alerts for Assistant Vice President roles. 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Location:
Fort Lee, NJ, United States
Job Type:
FullTime
Category:
Computer And Mathematical Occupations