Data Architect @ Innowise

Requirements: Proven experience acting as Solution / Data Architect in enterprise environments. Ability to take full ownership of architectural decisions. 5 years overall experience in Data Engineering / Data Platforms. 3 years hands-on architecture experience with Azure Databricks. Deep hands-on expertise in Databricks (cluster strategy, performance optimization, Delta Lake design), Spark internals & performance tuning, Data Lake architecture (Bronze/Silver/Gold patterns). Proven experience designing and implementing data pipelines using Azure Databricks, Apache Spark, and AWS Glue. Strong understanding of data governance, data quality, and data security principles. Experience with cloud-based data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake. Familiarity with data visualization tools like Tableau, Power BI, or QlikView. Ability to work effectively in a fast-paced environment, prioritize tasks, and manage multiple projects simultaneously. Strong communication and collaboration skills.