Data Architect (Healthcare)

• Design and evolve scalable, cloud-native data architectures for advanced analytics
• Develop and maintain real-time and batch data processing platforms
• Define and implement data modeling standards for structured and unstructured data
• Collaborate with engineering and product teams to translate business needs into solutions
• Optimize platform scalability, cost, and performance in cloud environments
• Establish architectural standards for data-driven decision-making

• 8+ years of experience in data architecture and engineering
• Strong experience with data engineering, cloud computing services, and solutions in the field of data and analytics. Azure is preferable
• Expertise in data analytics fundamentals, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, and structured and unstructured data
• Strong knowledge of SQL and solid practical experience with Python or Scala
• Strong experience with database development and data modeling, ideally with Databricks or Spark
• Good understanding of big data databases, such as Snowflake, BigQuery, etc. Snowflake is preferable
• Fluency in business English

PERSONAL PROFILE

• Analytical and strategic thinker with a passion for data innovation
• Strong communication and stakeholder management skills
• Proactive in exploring and adopting emerging technologies
• Collaborative team player with experience working in international teams