Data Warehouse Architect

3 semanas atrás

Aracaju, Brasil Avm Consulting Inc Tempo inteiro

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 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. Delta Lake Expertise: 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, Athena, IAM and VPC configuration knowledge. Data Warehousing & Modeling: Strong grasp of modern dimensional modeling (star / snowflake schemas) and 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. Monitoring Tools: 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). Location: Latin America (LATAM) region - Remote, USA - Remote Length : 1+ Year Client : Gaming giant #J-18808-Ljbffr

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