Data Architect

About the role

We are looking for a Data Architect to shape and evolve our enterprise data ecosystem. You will work closely with business and technical teams to design scalable, secure data platforms that support analytics, AI, and operational workloads.

Key responsibilities

• Define and govern enterprise data architecture, ensuring alignment with business strategy.
• Design and maintain data models, including Star and Snowflake schemas, for diverse use cases.
• Establish architecture standards, principles, and guidelines across the organization.
• Lead data governance and metadata management initiatives to improve data quality and visibility.
• Evaluate, recommend, and implement cloud data platforms and technologies such as Snowflake, BigQuery, AWS, GCP, and Azure.
• Collaborate with stakeholders to translate requirements into robust data solutions.

Required profile

• Minimum 6 years of experience in data architecture, data engineering, or enterprise platform design.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems or equivalent experience.
• Strong strategic thinking with the ability to turn business needs into sustainable data solutions.
• Excellent communication and stakeholder management skills.
• Fluent English.

Required skills

• Advanced SQL and Python.
• Hands‑on experience with Apache Spark and dbt.
• Deep knowledge of Snowflake and Google BigQuery.
• Proficiency with cloud platforms: AWS, GCP, Azure.
• Data modeling expertise (Star Schema, Snowflake Schema).