14 days ago
Orlando, FL, USASenior
Responsibilities
- Architect and implement entity resolution logic to create unified Golden Records for businesses and individuals.
- Design and maintain a global business knowledge graph and ontology for ownership chains, UBOs, and risk relationships.
- Implement hybrid storage using graph databases, document stores, and search stores.
- Optimize graph traversal and risk-assessment capabilities for millisecond-scale ownership lookups.
- Build scalable data services and APIs for ingesting, transforming, and serving data.
- Develop and maintain batch and streaming data pipelines using modern data-processing frameworks and AWS tooling.
- Own the reliability, performance, monitoring, alerting, and appropriate on-call operations of the data platform.
- Implement data modeling, quality, lineage, and governance practices.
- Collaborate with data scientists, analysts, and application engineers to develop platform capabilities.
- Drive automation and standardization through CI/CD, model as a service, and reproducible environments.
- Define and evolve platform architecture, service contracts, SLAs, and versioned APIs.
Requirements
- Hands-on expertise with graph databases such as Neo4j, AWS Neptune, or TigerGraph and query languages such as Cypher or Gremlin.
- Proven experience with entity resolution or record linkage using Senzing, Quantexa, or custom probabilistic matching models.
- Ability to design flexible ontologies for evolving regulatory data.
- Experience building GraphQL or REST APIs optimized for graph traversals and deep-tree lookups.
- Experience building centralized data platforms or data-as-a-service offerings at scale.
- Strong software engineering skills in at least one of Python, Java, Go, or Rust.
- Experience building data pipelines and ETL/ELT workflows on a major cloud provider, preferably AWS.
- Experience with Spark or Flink, Kafka or Kinesis, Airflow or managed schedulers, and data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.
- Familiarity with CI/CD, Docker, Kubernetes, and Terraform.
- Strong focus on observability, resilience, and early warning signals.
- Ability to collaborate cross-functionally and communicate with technical and non-technical stakeholders.
- Preferred: experience supporting machine learning or real-time decisioning use cases from a platform perspective.
- Preferred: knowledge of AML, CTF, KYC/KYB data structures, LEIs, or ISO 20022.
- Preferred: experience with global address normalization and geospatial indexing.
Benefits
- Medical, dental, and vision health care plan.
- 401(k) or IRA retirement plan.
- Life insurance.
- Flexible paid time off.
- Nine paid holidays.
- Family leave.
- Work-from-home option.
- Free food and snacks in Orlando.
- Wellness resources.
- Full-time hybrid position based in the Winter Park office in Orlando.
Tech Stack
Amazon RedshiftApache AirflowApache FlinkApache KafkaApache SparkAWSDatabricksDockerGoGoogle BigQueryGraphQLJavaKubernetesNeo4jPythonRustSnowflakeTerraform
Categories
BackendData Engineering
