Responsibilities:

Data Platform Architecture

• Define and maintain the target architecture of the data platform (ingest, storage, processing, serving, governance, observability).
• Design architecture based on Lakehouse / Medallion architecture with clearly defined layers and responsibilities.
• Establish architectural standards, patterns, and guardrails for platform and domain teams.
• Make key architectural decisions regarding technologies, integrations, and platform evolution.

Data Mesh & Domain Platform

• Ensure the platform architecture supports: autonomy of domain teams, the concept of Data Products and data contracts, scaling of Data Mesh initiatives across the organization, design the platform as an enabler, not a bottleneck for domains.

Security, Access & Compliance

• Design a security-by-design architecture, including:
  • data access control implemented at the data platform level,
  • segregation by layers and data scope,
  • standard access at table and view level,
  • column-level masking in special cases.
• Ensure the architecture complies with:
  • regulatory requirements,
  • compliance standards,
  • risk and audit requirements.

Collaboration with NN Group & Data Governance (Key Requirement)

• Closely collaborate with NN Group in terms of:
  • alignment of local architecture with group standards and reference data architecture,
  • adoption and local adaptation of centrally developed platform components (L1/L2),
  • participation in group-level architectural initiatives and decision forums.
• Work closely with Data Governance functions (locally and within the group), including:
  • embedding governance requirements into architecture (governance by design),
  • supporting metadata management, lineage, data quality, and access management,
  • co-defining standards for Data Products within the Data Mesh model.
• Act as a bridge between:
  • NN Group strategy and standards,
  • local business needs,
  • technical teams (Platform, Data Engineering, Security).

Technical Collaboration

• Work closely with:
  • Platform Engineers,
  • Data Engineers,
  • Data Architects / Data Modelers,
  • Security, Risk, and Compliance teams.
• Act as the design authority for platform and cross-domain solutions.

Requirements:

Experience & Technical Skills

• Minimum 7–10 years of experience in data platform architecture.
• Experience in designing cloud-based platforms (preferably Azure).
• Strong knowledge of:
  • Azure (networking, security, identity, cost management),
  • Azure Databricks,
  • data integration (batch & streaming),
  • Azure DevOps, CI/CD, and Infrastructure as Code.
• Experience with tools and concepts related to:
  • Data Governance and metadata management (e.g., Collibra),
  • data quality and observability.

Architectural Competencies

• Strong system thinking and long-term architectural mindset.
• Experience in balancing domain autonomy vs. central control.
• Deep understanding of non-functional requirements: security, performance, availability, cost.

Soft Skills:

• Ability to clearly communicate with both technical and business stakeholders (including senior management).
• Strong decision-making skills and ability to defend architectural decisions.
• Maturity in working within a complex, regulated corporate environment.
• English level: C1.

Role within the Organization

• Owner of the data platform architecture.
• Key partner for NN Group and Data Governance.
• Central decision-making authority for data and platform architecture.