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Data Architect mit Databricks und Data Governance (w/m/d)

Anzeige auf Englisch

ArbeitsortMünchen
HomeofficeVollständig remote

Our client is an independent technology and transformation partner with offices in Vienna and Munich. The company focuses on platform design, software modernization, cloud engineering, and data and AI. In this project, you will design the data architecture for a global insurance platform belonging to an international corporation.

Full remote

1 day on-site in Munich every 2 week

Must haves

Nice to have

Wanted Expertise

  • Consulting / Training - Training / Training (general)

Your Tasks

  • Own the target data architecture for claims and retail: modelling, cataloguing, ownership and exposure as data products
  • Guide decisions on integration and sharing patterns and stop ungoverned data movement
  • Prepare and shape architecture decisions for the Design Authority
  • Make sure data governance keeps pace as analytics, ML and GenAI build on the data products
  • Apply enterprise data architecture principles across lakehouse, event streaming and operational stores
  • Represent the domain in group enterprise architecture bodies
  • Work with platform teams, Data & Analytics and application and integration architects
  • No pipeline development, no reporting: you define the architecture data engineering builds against

Requirements

  • 5+ years in data architecture: data modelling, data governance, data integration
  • Strong grasp of data product thinking: datasets as owned, discoverable, governed products
  • Hands-on experience with Databricks (Unity Catalog, Delta Lake, Delta Sharing, medallion architecture)
  • Experience with event-driven ingestion, e.g. Kafka
  • Experience with legacy-to-modern-platform migrations
  • Working knowledge of GDPR, data residency and cross-border data transfer
  • Enterprise architecture (TOGAF or equivalent), experience with Design Authority reviews and ADRs
  • Strong stakeholder management across platform teams, engineering, compliance and multiple entities
  • Nice to have: Databricks or cloud certification, insurance data (claims, retail), Snowflake or Celonis
  • Excellent English

Arbeitgeber

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