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

Caliber Smart; Los Angeles (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Caliber Smart in Los Angeles is seeking a Senior Data Modeler with strong event-driven architecture and domain modeling experience to support enterprise data products and real-time architecture. You will model event-based architectures, domain events, state and consumer projections, and collaborate with architects, engineers, and governance teams to deliver reusable enterprise data models.

Join a team focused on translating complex data domains into durable contracts, enabling consistent

Qualifications

• Hands-on experience modeling event-based architectures and real-time consumption models.
• Experience translating domain concepts into durable data and event contracts.
• Ability to reconcile heterogeneous data sources and design temporal, historical models.

Skills

Event Modeling

Business events

State and snapshots

Event versioning

DDD

Bounded contexts

Aggregates

Domain events

Ubiquitous language

Conceptual modeling

Relational modeling

NoSQL modeling

Temporal data design

API projection modeling

Data governance

Data lineage

Model lifecycle

Collaboration

Reusable data models

Tools

AWS

Apache Iceberg

Aurora PostgreSQL

OpenSearch/Elasticsearch

Job description

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.

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

• Event Modeling
• Business events, event envelopes, and payloads.
• State and snapshot events.
• Event versioning, ordering, correlation, and idempotency.
• Domain-Driven Design (DDD)
• Bounded contexts, aggregates, and domain events.
• Ubiquitous language translated into durable data and event contracts.
• Conceptual & Logical Modeling
• Enterprise and domain models.
• Semantic boundaries and canonical concepts.
• Reconciling heterogeneous data sources.
• Relational & NoSQL Modeling
• Temporal and historical data design.
• Access-pattern-driven document, key-value, and search models.
• Graph modeling experience preferred.
• Streaming & Data Products
• Event-streaming platforms and schema registries.
• Avro, JSON Schema, and Protobuf
• Change Data Capture (CDC) and state reconstruction.
• Analytical & Lakehouse Modeling
• Dimensional and history-oriented models.
• Iceberg/Delta-style architectures.
• Translating event and state models into analytical forms.
• API & Projection Modeling
• Consistent domain representations across events, APIs, transactional stores, analytical stores, and search stores.
• Data Governance
• Semantic ownership and data lineage.
• Data quality and contract versioning.
• Model lifecycle management in a large enterprise environment.
• 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