Senior Manager: Data Architect Artificial Intelligence & Data

Our Client; Schweizer-Reneke; Hybrid; ZAR 2,194,000 - 2,853,000; Full time

Job summary

A global consultancy is seeking a Senior Data Architect to lead the design of enterprise-wide data solutions. The role involves modernizing data ecosystems and integrating AI capabilities. Candidates should have over 4 years of experience, strong cloud platform knowledge, and excellent communication skills. Proficiency in SQL, Python, and experience with tools like SonarQube and Terraform are required. This position offers a hybrid working model.

Qualifications

• 4+ years as a Data Architect with cloud platform implementation.
• Strong engineering background in data modelling and integration.
• Proficient in SQL, Python, and Spark.

Responsibilities

• Design data ecosystems across MDM, CRM, ERP, and cloud platforms.
• Architect high-performance platforms using AWS, Azure, GCP, or Databricks.
• Mentor junior consultants and lead team development.

Skills

Data modelling

Integration

DevOps

Cloud platforms (AWS, Azure, GCP)

Programming in SQL, Python, Spark

Tools

SonarQube

DBT

Informatica

Terraform

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.