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Mid-level Bangalore role with moderate brand and Azure/Databricks specialization limits applicant density.
Databricks/Azure platform skills are transferable, but enterprise governance and retail context require domain familiarity.
Explicit 5+ years plus mandatory Azure, Databricks, Unity Catalog, Terraform, and governance experience increases screening strictness.
Design, develop, and maintain Columbia Sportswear’s enterprise data platform using Azure, Databricks, Delta Lake, and related cloud technologies at global scale.
Optimize and implement data pipelines, platform tooling, and security practices including Azure Key Vault and Unity Catalog.
Collaborate with senior engineers and global cross-functional teams; participate in scrum process and on-call production support.
5+ years in data engineering or data platform roles, with at least 3 years in cloud environments (Azure preferred).
Hands-on experience with Apache Spark, PySpark, SQL query optimization, Databricks and Delta Lake.
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in modern data architectures including medallion architecture, enterprise data governance, and Unity Catalog.
Comfortable working autonomously within distributed, cross-timezone global teams and driving cloud strategy implementation.
Proficient in infrastructure-as-code tools (Terraform), CI/CD pipelines, and enterprise scheduling tools, enabling operational reliability and scale.