Data Mesh Architect

vor 11 Stunden

Basel, Basel-Stadt, Schweiz Excelra Vollzeit

Job Title: Data Mesh Architect / Lead – Centralized Entity Registry & Federated Governance

Role Overview

We are seeking a visionary and technically adept Data Mesh Architect to lead the design and implementation of a federated data architecture. This role will focus on establishing a centralized entity registry (CDEs), enabling domain-level flexibility while enforcing cross-domain data contracts and governance. The ideal candidate will have deep experience in data mesh principles, cloud-native data platforms, and user-centric design—especially for scientific users like biologists.

Key Responsibilities

1. Centralized Entity Registry & CDEs

  • Architect and implement a centralized registry that acts as a metadata catalogue and semantic layer.
  • Define and enforce Core Data Entities (CDEs) that standardize identity and lineage across domains.
  • Enable domain-specific data products to register via CDE contracts while maintaining autonomy.

2. Data Product Ownership & Federation

  • Collaborate with domain teams to identify initial data domains and guide them in creating compliant data products.
  • Promote federated ownership and stewardship models across scientific and technical domains.
  • Support transition from monolithic views to modular, domain-driven data products.

3. Governance Framework

  • Establish federated governance policies for data quality, lineage tracking, access control, and compliance.
  • Facilitate steering committee discussions to align CDE definitions across multi-domain products.
  • Implement scalable governance workflows that support AI-readiness and research acceleration.

4. Technical Integration

  • Integrate with existing platforms including AWS S3, Snowflake, and Palantir Foundry.
  • Design interoperability between centralized registry and domain-specific catalogues/systems.
  • Ensure compatibility with orchestration frameworks and metadata layers (e.g., AWS Glue, DataZone).

5. Business Outcomes

  • Drive faster research cycles through scalable data governance and discoverability.
  • Enable AI-ready data environments that support analytics, modelling, and scientific workflows.
  • Improve cross-domain collaboration and data reuse through standardized metadata and lineage.

6. User Experience & Adoption

  • Address user acceptance challenges, especially among biologists using GraphPad Prism.
  • Design workflows that allow seamless file-based access and integration with scientific tools.
  • Advocate for intuitive interfaces and minimal disruption to existing research practices.

Required Skills & Experience

  • 8+ years in data architecture,
    data engineering, or data governance roles.
  • Proven experience with data mesh, metadata catalogues, and semantic modelling.
  • Hands-on expertise in AWS (S3, Glue, Athena), Snowflake, and Palantir Foundry.
  • Familiarity with FAIR principles, data lineage, and domain-driven design.
  • Experience working with scientific data modalities and tools like GraphPad Prism.
  • Strong communication and stakeholder management skills.

Preferred Qualifications

  • Experience in pharma/biotech or scientific informatics domains.
  • Exposure to tools like Denodo, Databricks, Airflow, and Azure Synapse.
  • Understanding of user-centric design for scientific workflows.

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