Data Warehouse Innovator

Há 6 dias

São Paulo SP, Brasil beBeeDataWarehouse Tempo inteiro

**Job Description:** As a seasoned data architect, we are seeking an innovative professional to spearhead the design and implementation of a cutting-edge data warehouse instance for one of the world's largest gaming companies. The ideal candidate will possess hands-on expertise in Databricks (DBX) and AWS-native data services, with a proven track record of setting up high-performance lakehouse platforms. This role requires building scalable pipelines, optimizing lakehouse performance, and integrating diverse real-time and batch data sources across AWS. **Key Responsibilities: Design and deploy a new Databricks Lakehouse instance tailored to 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. **Required Skills & Qualifications: Databricks / Lakehouse Architecture End-to-end setup of Databricks workspaces and Unity Catalog. Expertise in Delta Lake internals, file compaction, and schema enforcement. 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.

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