Key Responsibilities

- Lakehouse Architecture: Design end-to-end Medallion architecture (Bronze, Silver, Gold layers) using Databricks Delta Lake.
- Pipeline Governance: Lead data governance, security, and cataloging strategies across the enterprise using Unity Catalog.
- Performance Tuning: Optimize Spark clusters, Delta Live Tables (DLT), and Databricks SQL queries for maximum cost-efficiency.
- Data Engineering Leadership: Establish CI/CD workflows, guide development teams on PySpark best practices, and translate business requirements into technical blueprints.

Required Qualifications & Skills

- Core Tech: Deep expertise in Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog.
- Cloud Platform: Hands-on architecture experience in [Azure / AWS / GCP].
- Dev Ops & Integration: Proficiency with Git, CI/CD tools, orchestration (Airflow/ADF), and BI systems (Power BI/Tableau).
- Certifications: Databricks Certified Data Architect or Solutions Architect is highly preferred.

📌 Data Analytics Architect (Databricks) (India)
🏢 Creeno Solutions Private
📍 India