Data Warehouse Architect - This role will involve building from the ground uparchitecting 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 clients 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 End-to-end setup of Databricks workspaces and Unity Catalog Expertise in Delta Lake internals, file compaction, and schema enforcement Advanced PySpark/SQL skills for ETL and transformations AWS Native Integration Deep experience with AWS Glue, S3, Redshift Spectrum, Lambda, and Athena IAM and VPC configuration knowledge for secure cloud integrations Data Warehousing & Modeling Strong grasp of modern dimensional modeling (star/snowflake schemas) Experience setting up lakehouse design patterns for mixed workloads Automation & DevOps Familiarity with CI/CD for data engineering using tools like DBX, Terraform, GitHub Actions, or Azure DevOps Proficient in monitoring tools like CloudWatch, Datadog, or New Relic for data pipelines Bonus/Nice to Have: Experience supporting gaming or real-time analytics workloads Familiarity with Airflow, Kafka, or EventBridge Exposure to data privacy and compliance practices (GDPR, CCPA) Other Details: Location : Latin America (LATAM) region - Remote, USA - Remote Length : 1 Year Client : Gaming giant