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Mid-level Databricks data platform role in Bangalore with a recognizable brand and common 5+ years profile.
Databricks, Spark, and cloud data-platform skills are broadly transferable across industries.
Explicit 5+ years requirement plus mandatory Databricks, Azure, Spark, and Terraform skills increases shortlisting strictness.
Design, develop, and maintain Columbia Sportswear's global enterprise data platform using Azure, Databricks, and Delta Lake.
Develop scalable data pipelines and platform tooling, ensuring security with Azure Key Vault and managing multi-workspace environments including Unity Catalog.
Collaborate across time zones with global teams, participate in scrum ceremonies, support production with on-call duties, and mentor junior engineers.
5+ years in data engineering or data platform roles, with at least 3 years in cloud environments (Azure preferred).
Strong hands-on experience with Apache Spark, PySpark, Databricks, Delta Lake, and proficiency in SQL including query optimization.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
Experience with Azure Data Factory or similar orchestration tools; familiarity with infrastructure-as-code tools like Terraform; exposure to Unity Catalog and medallion architecture.
Experienced in building and evolving cloud-based data platforms at enterprise scale with emphasis on modern architecture and governance.
Comfortable operating autonomously within globally distributed agile teams and navigating cross-functional collaboration across time zones.
Skilled in communicating technical concepts effectively and driving adoption of cloud data engineering best practices.