Data Architect (Healthcare)

TL;DR

Data Architect (Healthcare): Designing scalable, cloud-native data architectures for advanced analytics in the healthcare domain with an accent on data modeling standards and real-time data processing platforms. Focus on optimizing platform scalability, cost, and performance in cloud environments while collaborating with engineering and product teams.

Location: Europe (remote)

Company

hirify.global Software is a company with years of experience in innovative technologies.

What you will do

• 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.

Requirements

• 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.

Culture & Benefits

• Flexible schedule.
• Remote work.
• Outstanding offices (if you choose it).
• Sports and community activities.
• Health & Legal support.
• Continuous education and growing.