Senior Data & Reporting Architect (Greenfield)

Saxo; København; On-site; DKK 1,000,000 - 1,400,000; Full time

Job summary

Saxo in Copenhagen HQ seeks a senior data architect who will own how data is sourced, modelled, and used across compliance reporting and related solutions. You will define direction, drive implementation, and build a central data foundation for reporting.

The role blends architecture and hands-on work, setting standards for data models, guiding cross-functional teams, and ensuring data is consistent, reusable, and governed.

Qualifications

• Strong experience in data architecture and data modelling.
• Solid understanding of data sourcing, integration patterns, and reporting needs.
• Proven ability to design data structures that are simple, consistent, and reusable.
• Hands-on approach from design to implementation.
• Comfortable working across global/distributed teams and setting direction.

Responsibilities

• Own data sourcing and integration for reporting solutions within the bank (Saxo context).
• Design and maintain core domain data models for reporting.
• Build and evolve the central data foundation for reporting (event-driven and batch sourcing).
• Define data structure, documentation, and availability for reporting/analytics.
• Ensure data is consistent, reusable, and well-governed across solutions.
• Implement validation and controls to ensure data quality and traceability.
• Guide development teams on correct data usage.
• Document data models, data flows, and dependencies end-to-end.
• Collaborate with architects and upstream data/platform teams to align data sourcing and distribution.

Skills

Data architecture

Data modelling

Data sourcing

Data integration

Cross-team collaboration

Job description

Saxo in Copenhagen HQ seeks a senior data architect who will own how data is sourced, modelled, and used across compliance reporting and related solutions. You will define direction, drive implementation, and build a central data foundation for reporting.

The role blends architecture and hands-on work, setting standards for data models, guiding cross-functional teams, and ensuring data is consistent, reusable, and governed.