Data Warehouse Architect

1 semana atrás


Uberaba, Brasil Avm Consulting Inc Tempo inteiro

Databricks Data Warehouse ArchitectAbout 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 CatalogExpertise inDelta Lake internals, file compaction, and schema enforcementAdvancedPySpark/SQLskills for ETL and transformationsAWS Native IntegrationDeep experience withAWS Glue,S3,Redshift Spectrum,Lambda, andAthenaIAM and VPC configuration knowledge for secure cloud integrationsData Warehousing & ModelingStrong grasp ofmodern dimensional modeling(star/snowflake schemas)Experience setting uplakehouse design patternsfor mixed workloadsAutomation & DevOpsFamiliarity withCI/CD for data engineeringusing tools like DBX, Terraform, GitHub Actions, or Azure DevOpsProficient inmonitoring toolslike CloudWatch, Datadog, or New Relic for data pipelinesBonus/Nice to Have:Experience supportinggaming or real-time analytics workloadsFamiliarity withAirflow,Kafka, orEventBridgeExposure todata privacy and compliance practices (GDPR, CCPA)Other Details:Location: Latin America (LATAM) region - Remote, USA - RemoteLength: 1+ YearClient: Gaming giant



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