Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Airflow Application Frameworks Continuous Integration Data Governance Data Masking Role-Based Access Control Workflow Management Systems Pyspark Databricks

Requirements

• Design enterprise-scale Lakehouse architectures using Databricks. Define target-state data platform architectures and migration roadmaps. Develop reference architectures, reusable frameworks, and accelerator solutions. Establish enterprise data governance, security, and operational standards. Well versed with role based access controls, data masking, developing models with Unity Catalog to enable secure sharing and ensure classification, lineage, and auditability. Hands on experience with Pyspark job development and implementation Familiarity with CI/CD methods desired Background working with orchestration tools, such as Airflow Strong knowledge of Unity Catalog and large scale governance. Experience in advance features of databricks like Databricks Apps, Delta sharing Knowledge of real time and streaming integration.”

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