Data Modeler

Capgemini; Los Angeles (CA); Presencial; USD 89.000 - 139.000; A tiempo parcial

Descripción de la vacante

Lakehouse Technologies seeks a Senior Data Modeler with strong event-driven and domain modeling experience to support Farmers enterprise data products and real-time architecture. This role is not a traditional relational modeler, requiring hands-on event-based modeling and real-time consumption models.

You will work with event envelopes, state versions, and domain contracts. Responsibilities include aligning domain models with heterogeneous sources, designing canonical concepts, and developing

Formación

• Event modeling including envelopes, payloads, state snapshots, versioning, ordering, correlation.
• Domain Driven Design with bounded contexts, aggregates, domain events and ubiquitous language.
• Conceptual/logical enterprise and domain modeling with semantic boundaries.
• Relational and NoSQL modeling across temporal/historical designs and document/key-value/search models.
• Streaming and data products with event streaming platforms, schema registries, Avro/JSON/Protobuf and CDC.
• Analytical lakehouse modeling with Iceberg/Delta and translating event/state models to analytics.
• API and projection modeling ensuring consistent domain representations across events, APIs and stores.

Conocimientos

Event modeling

Domain Driven Design

Conceptual logical modeling

Relational and NoSQL modeling

Streaming and data products

Analytical lake house modeling

API and projection modeling

Data governance

Herramientas

AWS

Iceberg

Delta

OpenSearch

Elasticsearch

Schema registries

Protobuf

Descripción del empleo

Contract (1 month 9 days)

Published 2 days ago

Lakehouse Technologies

data governance

Schema Technologies

Event Modeling

nosql

Domain - Driven Design (DDD)

Lakehouse Modeling

Role Senior data modeler with strong event driven and domain modeling experience supporting Farmers enterprise data product and real time architecture This is not a traditional relational modeler with some event streaming exposure

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:

• Event modeling Business events envelopes payloads states nap shot events versioning ordering correlation and idempotency
• Domain Driven Design Bounded contexts aggregates domain events and ubiquitous language turned into durable data and event contracts
• Conceptual logical modeling Enterprise and domain models semantic boundaries canonical concepts and reconciling heterogeneous sources
• Relational and NoSQL modeling Temporal and historical design plus access pattern driven document key value and search models graph preferred
• Streaming and data products Event streaming platforms schema registries Avro JSON Schema Protobuf CDC and state reconstruction
• Analytical lake house modeling Dimensional and history oriented models Iceberg Delta style architectures and translating event and state models into analytical forms
• API and projection modeling Consistent domain representations across events APIs transactional analytical and search stores

Preferred:

• Insurance PC and ACORD familiarity large enterprise modernization hands-on AWS Iceberg Aurora PostgreSQL and OpenSearch Elasticsearch

Governance Semantic ownership lineage data quality contract versioning and model lifecycle in a large enterprise

Collaboration Working with domain SMEs architects engineers and governance teams to produce reusable enterprise models

The pay range that the employer in good faith reasonably expects to pay for this position is $64.72/hour - $101.13/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information.

In addition, job duties require access to secure and protected client information technology systems and related data security obligations.