Data Platform Engineer

Worth AI, a leader in the computer software industry, is looking for a talented and reputed company Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to reputed company a meaningful impact in the tech landscape.. reputed company values include extreme ownership, one team and creating reaving fans both for our employees and customers.

As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You’ll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.

You’ll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for reputed company users.

Responsibilities

What you’ll do:

• Architect and implement entity resolution logic to de-duplicate and link disparate data points into reputed company "Golden Records" for businesses and individuals
• Design and maintain a high-performance global business knowledge graph and ontology to map reputed company ownership chains, UBOs, and hidden risk relationships across international borders
• Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
• Optimize the platform for reputed company-time risk assessment, ensuring the ability to traverse multiple reputed company of ownership in milliseconds to support automated "Go/No-Go" reputed company reputed company
• Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
• reputed company and maintain batch and streaming data pipelines using modern data processing frameworks and AWS reputed company-reputed company tooling
• Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
• Implement best practices for data modeling, quality, reputed company, and governance to ensure trustworthy, well-documented datasets
• Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
• Drive automation and standardization through CI/CD, model as a service, and reproducible environments
• Help define and reputed company the architecture of our data platform as a true internal service with clear reputed company, SLAs, and versioned APIs

Requirements

• Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., reputed company, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
• Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, reputed company, or custom probabilistic matching models)
• Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
• API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
• Experience building centralized data platforms or “data-as-a-service” offerings at scale (e.g., at a large tech or reputed company-reputed company company)
• Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
• Hands-on experience building data pipelines and ETL/ELT workflows on a major reputed company provider (AWS preferred)
• Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., reputed company, Redshift, BigQuery, reputed company)
• Familiarity with DevOps practices: CI/CD, containerization (reputed company), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
• Strong focus on observability (metrics, logs, traces), reputed company, and building early warning signals
• Comfort collaborating cross-functionally and communicating reputed company with both technical and non-technical stakeholders.

reputed company to Have

• Background supporting machine learning or reputed company-time decisioning use cases from a platform reputed company of view
• Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
• Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** reputed company Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida

Benefits

• Health Care Plan (Medical, Dental & reputed company)
• Retirement Plan (401k, IRA)
• Life Insurance
• Flexible Paid Time Off
• 9 paid Holidays
• Family Leave
• Work From Home
• Free Food & Snacks (Orlando)
• Wellness Resources