Senior Global Data Vault 2.0 Modeler | Databricks Expert

HeadFirst Group; Hoofddorp; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Salary ranges aligned to experience

Holiday pay 8.33%

Hybrid work 60/40

Pension plan

Performance bonus

Job summary

HeadFirst Group is seeking a Senior Enterprise Data Modeler to own Data Vault 2.0 modelling across core business domains within a modern Azure/Databricks data platform. You will translate business processes into robust, reusable data models and work closely with business stakeholders and the Data Engineering team.

The role focuses on detailed modelling decisions, ensuring a harmonised view across regions, and delivering flexible data contracts and accelerators for analytics, AI, and future data

Qualifications

• 5+ years of experience in enterprise data modelling.
• Proven production experience with Data Vault 2.0.
• Experience building or working with Data Vault 2.0 accelerators.
• Hands-on experience implementing Data Vault 2.0 on Databricks.

Responsibilities

• Own and evolve the Data Vault 2.0 model across the global data platform.
• Translate business concepts into data models, diagrams and definitions.
• Design hubs, links, satellites, Raw Vault and Business Vault structures.
• Define business keys, hash key strategies, satellite design and driving keys.
• Model data from source systems (e.g., Workday) into a consistent structure.
• Design Gold-layer models and golden records for core entities (Customer, Partner, Candidate, Worker).
• Maintain documentation and ensure cross-region consistency.

Skills

Data Vault 2.0

Enterprise data modelling

Databricks

Delta Lake

Unity Catalog

Tools

Databricks

Delta Lake

Unity Catalog

Workday

Job description

HeadFirst Group is seeking a Senior Enterprise Data Modeler to own Data Vault 2.0 modelling across core business domains within a modern Azure/Databricks data platform. You will translate business processes into robust, reusable data models and work closely with business stakeholders and the Data Engineering team.

The role focuses on detailed modelling decisions, ensuring a harmonised view across regions, and delivering flexible data contracts and accelerators for analytics, AI, and future data