Bachelor's or Master’s in Computer Science, Information Systems, Data Engineering, or a related field.
• 8+ years in IT architecture roles, with at least 3 years focused on data and analytics architecture.
• Expertise in cloud-native data platforms (preferably AWS) and technologies such as: AWS tech stack ( S3, Glue, ...
Redshift), Databricks, Snowflake, Power BI, Cloudera Hadoop.
• Strong architecture knowledge of data integration, ETL/ELT, data lakehouse architecture, business intelligence
and data governance frameworks.
• Experience in designing scalable, high-performance, and secure analytics platforms.
• Proven experience leading architectural assessments and producing actionable recommendations.
• Familiarity with DevOps, CI/CD, and infrastructure as code in a data environment
experience
8show more Bachelor's or Master’s in Computer Science, Information Systems, Data Engineering, or a related field.
• 8+ years in IT architecture roles, with at least 3 years focused on data and analytics architecture.
• Expertise in cloud-native data platforms (preferably AWS) and technologies such as: AWS tech stack ( S3, Glue,
Redshift), Databricks, Snowflake, Power BI, Cloudera Hadoop.
• Strong architecture knowledge of data integration, ETL/ELT, data lakehouse architecture, business intelligence
and data governance frameworks.
• Experience in designing scalable, high-performance, and secure analytics platforms.
• Proven experience leading architectural assessments and producing actionable recommendations.
• Familiarity with DevOps, CI/CD, and infrastructure as code in a data environment
experience
8
