Data Architect

Wood Mackenzie

Multiple Locations
Snowflake and aws cloud data platform
Data modeling techniques
Dbt for data transformation
Seeking an experienced Data Architect to lead, design, and manage modern data infrastructure with a focus on Snowflake, data modeling, dbt, and data engineering

Job Summary

  • Seeking an experienced Data Architect to lead, design, and manage modern data infrastructure with a focus on Snowflake, data modeling, dbt, and data engineering.
  • This role will shape AI-centric data solutions supporting scalable product development, analytics, operational efficiency, and strategic decision-making, emphasizing Data as a Product.
  • Responsibilities include designing robust data architectures, developing scalable data models, leading data transformation workflows, establishing an operating model with data/analytical engineers, and ensuring data quality, governance, and security.

Matching Summary

Seeking an experienced Data Architect to lead, design, and manage modern data infrastructure with a focus on Snowflake, data modeling, dbt, and data engineering.

Skills & Requirements

Must-have

  • Snowflake and AWS cloud data platform
  • Data modeling techniques
  • dbt for data transformation
  • Data engineering with SQL and Python
  • ELT/ETL frameworks and modern data stack
  • AI foundations for data alignment

Nice-to-have

  • Leadership and mentorship
  • Cross-functional communication
  • Strategic mindset
  • Inclusive and trusting culture
  • Customer commitment

Key Requirements

  • Proven experience designing and managing data architectures using Snowflake and AWS at scale
  • Practical expertise in designing enterprise ontologies and knowledge networks
  • Hands-on expertise in dbt for data transformation and pipeline orchestration
  • Solid background in data engineering with proficiency in SQL and Python
  • Experience with AI to accelerate data management

Work Rights

Not specified

Tailored Resume

Cover Letter