Databricks Architect

Role Overview:
We are looking for an experienced Data Analytics Architect with strong hands-on expertise in Databricks, PySpark, Spark SQL, Delta Lake, and cloud-based data engineering. The candidate will be responsible for designing scalable lakehouse architectures, implementing Medallion Architecture, establishing enterprise data governance using Unity Catalog, and optimizing data pipelines for performance and cost efficiency.
The ideal candidate should combine architecture and technical leadership with hands-on implementation experience.
Key Responsibilities:
Design and implement end-to-end Lakehouse Architecture using Databricks and Delta Lake.
Develop and maintain Medallion Architecture with Bronze, Silver, and Gold data layers.
Lead data governance, access control, security, cataloging, and lineage using Unity Catalog.
Optimize Apache Spark workloads, cluster configurations, Delta Live Tables (DLT), and Databricks SQL queries.
Build scalable ETL/ELT pipelines using PySpark, Spark SQL, and Python.
Establish CI/CD pipelines and development best practices using Git and tools such as Azure DevOps or GitHub Actions.
Integrate Databricks with cloud data platforms such as Azure, AWS, or GCP.
Implement orchestration using Azure Data Factory, Airflow, or similar tools.
Translate business requirements into technical architecture, data models, and implementation plans.
Mentor data engineering teams and drive coding standards, data quality, reliability, and cost optimization.

Work arrangement
Hybrid