Data Architect

vor 1 Woche

Basel, Basel-Stadt, Schweiz Discover International Vollzeit CHF 89'999 - CHF 159'995 pro Jahr

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

Contract: 12 months Contract

Start: ASAP

Onsite: 2-3 days in Basel

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.

  1. 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.

  1. 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.

  1. 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).

  1. 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.

  1. 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.

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