Data Warehouse Architect

Databricks Data Warehouse Architect About the role :

One of the largest companies in the world in the Gaming industry is seeking a hands-on Data Architect with DataWarehouse Engineer expertise in Databricks (DBX) and AWS-native data services to spearhead the design and implementation of a new data warehouse instance for a major product line. This role will involve building from the ground up—architecting scalable pipelines, optimizing lakehouse performance, and integrating seamlessly with diverse real-time and batch data sources across AWS.

The ideal candidate is passionate about data architecture , thrives in fast-moving environments, and has a proven track record of setting up high-performance lakehouse platforms on Databricks with a strong foundation in data warehousing principles .

Key Responsibilities :

• Design and deploy a new Databricks Lakehouse instance tailored to the client’s product-level data needs.
• Architect and implement robust data ingestion pipelines using Spark (PySpark / Scala) and Delta Lake.
• Integrate AWS-native services (S3, Glue, Athena, Redshift, Lambda) with Databricks for optimized performance and scalability.
• Define data models, optimize query performance, and establish warehouse governance best practices.
• Collaborate cross-functionally with product teams, data scientists, and DevOps to streamline data workflows.
• Maintain CI / CD, preferably DBX for data pipelines using GitOps and Infrastructure-as-Code.
• Monitor data jobs and resolve performance bottlenecks or failures across environments.

Required Skills & Experience : Databricks / Lakehouse Architecture

AWS Native Integration

Data Warehousing & Modeling

Automation & DevOps

Bonus / Nice to Have :

Other Details :

Client : Gaming giant