Senior Manager: Data Architect Artificial Intelligence & Data

Posted 08 August 2025
Salary Negotiable
LocationSchweizer-Reneke
Job type Permanent
Discipline Data & Analytics
ReferenceBBBH39646

Job description

Job Title: Data Architect - AI & Data Practice (Senior Manager)
Location: Switzerland (Hybrid Working Available)
Industry: Management Consulting
About Us
Conexus are supporting a leading global consultancy helping clients unlock the power of AI and data to deliver human-centric solutions that drive growth and operational efficiency.
Your Impact
As a Data Architect, you will play a pivotal role in guiding senior stakeholders through architectural decisions and leading the design and implementation of enterprise-wide data solutions. You'll help clients modernise complex system landscapes, build scalable cloud platforms, and integrate cutting-edge AI capabilities.
Key Responsibilities

  • Enterprise Architecture Leadership: Design and modernise data ecosystems across MDM, CRM, ERP, and cloud platforms.
  • Cloud Data Platform Development: Architect and implement high-performance platforms using AWS, Azure, GCP, Snowflake, or Databricks.
  • Integrated Solutions: Build seamless integrations between data platforms and AI/GenAI systems.
  • Thought Leadership: Represent the firm at industry events and contribute to market positioning.
  • Team Development: Mentor junior consultants and shape internal capability building across regions.

What We're Looking For

  • Experience:
    • 4+ years as a Data Architect with hands-on cloud platform implementation.
    • Strong engineering background with experience in data modelling, integration, and DevOps.
    • Familiarity with coding quality tools (e.g., SonarQube) and AI coding assistants.
    • Exposure to structured, semi-structured, and graph-based data models.
    • Bonus: Experience with Infrastructure as Code (e.g., Terraform).
  • Leadership & Communication:
    • Strong client-facing presence and stakeholder engagement skills.
    • Ability to lead teams, estimate delivery effort, and produce architecture blueprints.
    • Excellent written and verbal communication skills.
  • Technical Expertise:
    • Proficiency in modelling methods (e.g., DAMA, TOGAF), including Data Vault and dimensional modelling.
    • Experience with modern data architectures (Lakehouse, Lambda, Medallion).
    • Knowledge of ETL/ELT tools (e.g., DBT, Informatica) and event-driven architecture.
    • Programming skills in SQL, Python, Spark; familiarity with big data formats (Parquet, Iceberg).
  • Language Proficiency:
    • Fluent in English; German and/or French highly preferred.