Lead Data Modeller

Fixed Term Employment | Geek Soft Consulting | Netherlands

Posted On 02.06.2026

Technology

Work Experience 5+ years

State/Province Noord-Holland

City Amsterdam

1011

• Help design, build and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.

• Lead conceptual, logical, and physical data modeling activities across enterprise domains.
• Establish and maintain data modeling standards, naming conventions, versioning practices, and modeling governance frameworks.
• Define domain boundaries, core business entities, master and reference data structures, and authoritative systems for each subject area.
• Develop and maintain mappings between data models, data products, APIs, and Operational Data Store (ODS) structures.
• Collaborate with Data Owners and Data Stewards to obtain approvals for data definitions, business rules, and change management processes.
• Contribute to data governance forums, review boards, and governance cadences.
• Ensure business glossary completeness and end-to-end data lineage documentation using Dataplex and Data Catalog standards.
• Apply CIAA-based data classification (Confidentiality, Integrity, Accountability, and Availability) at the attribute level and identify PII and sensitive data elements.
• Define data masking, pseudonymization, and role-based access requirements for production and non-production environments.
• Incorporate data-sharing principles, governance policies, and data contract requirements into data model deliverables.
• Design and optimize Big Query physical data models, including partitioning strategies, clustering keys, constraints, and table/view design to support near real-time ODS requirements.
• Collaborate with platform teams to align with Dataplex and Data Catalog standards for domains, zones, metadata management, and data discovery.
• Translate business requirements into data quality rules, validation checks, acceptance criteria, and observability measures across source and ELT layers.
• Contribute to data quality backlogs, monitoring dashboards, and continuous improvement initiatives.
• Design reusable and governed data products with clearly defined SLAs, SLOs, service boundaries, and data contracts.
• Collaborate with engineering teams to enable standardized APIs and data product consumption.
• Facilitate data modeling workshops, steward reviews, architecture discussions, and cross-domain design sessions.
• Document architectural decisions, data governance outcomes, and traceability throughout the data lifecycle.
• A challenging, innovating environment.
• Opportunities for learning where needed.