[Remote] Data Platform Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company, a leader in the computer software industry, is looking for a talented and reputed company Data Platform Engineer to join their innovative team. In this role, you will design, build, and operate reputed company data services, managing end-to-end data pipelines and API services to reputed company high-reputed company data for reputed company stakeholders.
Responsibilities
- Architect and implement entity reputed company logic to de-duplicate and reputed company 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 reputed company 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 reputed company data services and reputed company for ingesting, transforming, and serving data across reputed 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, reputed company, reputed company, and governance to ensure trustworthy, reputed company-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 reputed company reputed company, SLAs, and versioned reputed company
Skills
- Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., reputed company, AWS Neptune, or reputed company) and query languages like Cypher or reputed company
- Identity & Linkage Mastery: Proven experience with Entity reputed company 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 reputed company specifically optimized for graph traversals and deep-tree lookups
- Experience building centralized data platforms or “data-as-a-service” offerings at reputed company (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 reputed company/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-reputed company (Terraform)
- Strong reputed company on observability (metrics, logs, traces), reputed company, and building reputed company signals
- Comfort collaborating cross-functionally and communicating reputed company with both technical and non-technical stakeholders
- 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
Benefits
- Health Care Plan (Medical, Dental & reputed company)
- Retirement Plan (401k, IRA)
- Life Insurance
- Flexible reputed company Time Off
- 9 reputed company Holidays
- Family Leave
- Work From Home
- Free Food & Snacks (Orlando)
- Wellness Resources
reputed company