Proven experience as a Data Architect with a minimum of 12 years in designing and implementing data solutions.
In-depth knowledge of data modelling techniques, including conceptual, logical, and physical data models. Experience in designing and implementing data models, data pipelines, and database schemas to support various business applications and reporting needs.
Hands-on experience with Tableau for data visualization and reporting.
Proficiency in cloud-based data solutions, specifically with Snowflake and AWS services (e.g., S3, Redshift, Glue, Athena, etc.).
Strong understanding of data integration patterns and technologies (ETL/ELT).
Experience with data security, data privacy, and data governance best practices.
Experience in performance tuning and optimization activities for large-scale data sets and complex queries.
Familiarity with Big Data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
Excellent analytical and problem-solving skills, with the ability to analyse complex data sets and derive actionable insights.
Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Proven ability to work in a fast-paced and dynamic environment, handling multiple projects simultaneously.