Data warehouse architect

2 semanas atrás


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 Data Warehouse 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 (Py Spark/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 Dev Ops to streamline data workflows.Maintain CI/CD, preferablyDBXfor data pipelines using Git Ops 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 enforcementAdvancedPy Spark/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 & Dev OpsFamiliarity withCI/CD for data engineeringusing tools like DBX, Terraform, Git Hub Actions, or Azure Dev OpsProficient inmonitoring toolslike Cloud Watch, Datadog, or New Relic for data pipelinesBonus/Nice to Have:Experience supportinggaming or real-time analytics workloadsFamiliarity withAirflow,Kafka, orEvent BridgeExposure 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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