Data Warehouse Architect

Há 2 dias

capão da canoa, 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-onData Architect with DataWarehouse Engineerexpertise inDatabricks (DBX)andAWS-native data servicesto 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 aboutdata architecture , thrives in fast-moving environments, and has a proven track record of setting up high-performance lakehouse platforms onDatabrickswith a strong foundation indata warehousing principles . Key Responsibilities:Design and deploy a newDatabricks Lakehouseinstance tailored to the client’s product-level data needs. Architect and implement robustdata ingestion pipelinesusing Spark (PySpark/Scala) and Delta Lake. IntegrateAWS-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, preferablyDBXfor data pipelines using GitOps and Infrastructure-as-Code. Monitor data jobs and resolve performance bottlenecks or failures across environments. Required Skills & Experience:Databricks / Lakehouse ArchitectureEnd-to-end setup ofDatabricks workspacesandUnity Catalog Expertise inDelta Lake internals , file compaction, and schema enforcement AdvancedPySpark/SQLskills for ETL and transformationsAWS Native IntegrationDeep experience withAWS Glue ,S3 ,Redshift Spectrum ,Lambda , andAthena IAM and VPC configuration knowledge for secure cloud integrations Data Warehousing & ModelingStrong grasp ofmodern dimensional modeling(star/snowflake schemas) Experience setting uplakehouse design patternsfor mixed workloads Automation & DevOpsFamiliarity withCI/CD for data engineeringusing tools like DBX, Terraform, GitHub Actions, or Azure DevOps Proficient inmonitoring toolslike CloudWatch, Datadog, or New Relic for data pipelines Bonus/Nice to Have:Experience supportinggaming or real-time analytics workloads Familiarity withAirflow ,Kafka , orEventBridge Exposure todata privacy and compliance practices (GDPR, CCPA) Other Details:Location : Latin America (LATAM) region - Remote, USA - Remote Length : 1+ Year Client : Gaming giant

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