A bachelor’s degree or higher in computer science, information technology, data science, or a related field.
A minimum of 5 years of experience in designing and developing data architecture solutions for various data sources and platforms.
Knowledge of modern platforms (AWS, Google, Databricks) and architecture approaches (Lakehouse, DataVault).
Experience developing analytical layers to serve commercial pharma needs across sales, marketing and market access.
A strong knowledge of the data architecture principles, concepts, and methodologies, such as data modeling, data warehousing, data engineering, data governance, and data quality.
A proficient understanding of the data storage, processing, and integration technologies, tools, and languages, such as SQL, NoSQL, Hadoop, Spark, Kafka, ETL, Python, R, and Java.
A high level of analytical, problem-solving, and decision-making skills.
A proven ability to lead, manage, and collaborate with diverse and cross-functional teams.
A excellent communication, presentation, and documentation skills.
A keen attention to detail, accuracy, and consistency.