Data Modeler with Event Modeling and Domain-Driven Design Exp- Los Angeles, CA (Onsite)

Role Name: Senior Data Modeler – Event-Driven Architecture & Domain Modeling
Location: Los Angeles, CA (Onsite)
Start date: 12 Months

Role Overview

We are seeking a Senior Data Modeler with strong event-driven architecture and domain modeling experience to support Farmers' enterprise data products and real-time architecture.

This is not a traditional relational data modeling role requiring only some exposure to event streaming.

Key Qualification

Hands-on experience modeling event-based architectures and real-time consumption models, with a clear understanding that event, domain, state, and consumer projection models are related but distinct.

Required Skills & Experience

1. Event Modeling

• Business events, event envelopes, and payloads.
• State and snapshot events.
• Event versioning, ordering, correlation, and idempotency.

2. Domain-Driven Design (DDD)

• Bounded contexts, aggregates, and domain events.
• Ubiquitous language translated into durable data and event contracts.

3. Conceptual & Logical Modeling

• Enterprise and domain models.
• Semantic boundaries and canonical concepts.
• Reconciling heterogeneous data sources.

4. Relational & NoSQL Modeling

• Temporal and historical data design.
• Access-pattern-driven document, key-value, and search models.
• Graph modeling experience preferred.

5. Streaming & Data Products

• Event-streaming platforms and schema registries.
• Avro, JSON Schema, and Protobuf.
• Change Data Capture (CDC) and state reconstruction.

6. Analytical & Lakehouse Modeling

• Dimensional and history-oriented models.
• Iceberg/Delta-style architectures.
• Translating event and state models into analytical forms.

7. API & Projection Modeling

• Consistent domain representations across events, APIs, transactional stores, analytical stores, and search stores.

8. Data Governance

• Semantic ownership and data lineage.
• Data quality and contract versioning.
• Model lifecycle management in a large enterprise environment.

9. Collaboration

• Working with domain SMEs, architects, engineers, and governance teams.
• Developing reusable enterprise data models.

Preferred Qualifications

• Insurance/P&C (Property & Casualty) industry experience.
• Familiarity with ACORD standards.
• Large-enterprise modernization experience.
• Hands-on experience with:
  • AWS
  • Apache Iceberg
  • Aurora PostgreSQL
  • OpenSearch/Elasticsearch

Best Regards,

Vishal

Truth Lies in Heart