Worth AI

Worth AI is a leading provider of business credit score and risk management solutions. Their AI-powered underwriting platform helps businesses accelerate credit approvals, predict portfolio credit risk, and eliminate unnecessary losses. With a focus on...

Internet Software & Services

Information Technology

9 open positions

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Graph DBA

1 month ago

United States

Full-time

Senior

Database Administrator

DevOps and Infrastructure

Apache Airflow Apache Spark AWS CI/CD Databricks Docker Flink Go GraphQL Java Kafka Kubernetes Machine Learning Neo4j Python REST API Rust Snowflake Terraform

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Worth AI

Internet Software & Services

View All Jobs 9

Description

Architect and implement entity resolution logic to de-duplicate and link data into unified golden records.
Design and maintain a global business knowledge graph and ontology that maps ownership chains, UBOs, and hidden risk relationships.
Implement a hybrid storage strategy using graph databases alongside document and search stores for rich metadata and adverse media content.
Optimize the platform for real-time risk assessment and millisecond-level graph traversals that support automated onboarding decisions.
Design and build scalable data services and APIs for ingesting, transforming, and serving company data.
Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling.
Own the reliability, performance, monitoring, alerting, and on-call support for the API-first data platform.
Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy datasets.
Work closely with data scientists, analysts, and application engineers to translate requirements into platform capabilities.
Drive automation and standardization through CI/CD, model-as-a-service, reproducible environments, and clear service contracts.

Requirements

Hands-on experience with graph databases such as Neo4j, AWS Neptune, or TigerGraph and query languages like Cypher or Gremlin.
Proven experience with entity resolution or record linkage, including tools like Senzing, Quantexa, or custom probabilistic matching models.
Ability to design flexible ontologies for evolving regulatory data such as changing PEP definitions or sanction list formats.
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 data/services language such as Python, Java, Go, or Rust.
Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider, with AWS preferred.
Experience with modern data stack tools such as Spark or Flink, Kafka or Kinesis, Airflow or managed schedulers, and warehouses like Snowflake, Redshift, BigQuery, or Databricks.
Familiarity with DevOps practices including CI/CD, Docker, Kubernetes, and Terraform.
Strong focus on observability, resilience, and early warning signals.
Comfort collaborating cross-functionally and communicating clearly with technical and non-technical stakeholders.
Background supporting machine learning or real-time decisioning use cases from a platform perspective is a plus.
Understanding of AML, CTF, and KYC/KYB data structures such as LEIs and ISO 20022 is preferred.
Experience handling global address normalization and geospatial indexing for risk detection is a plus.
All remote hires must travel to Orlando, Florida at least twice per year for Town Halls and team collaboration, plus orientation in Orlando.

Benefits

Health care plan including medical, dental, and vision coverage.
Retirement plan with 401(k) and IRA options.
Life insurance coverage.
Flexible paid time off.
9 paid holidays.
Family leave.
Work-from-home flexibility.
Wellness resources.
Free food and snacks in Orlando.

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