Data warehouse architect

Há 7 dias

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 Data Warehouse 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 the client's product-level data needs. Architect and implement robust data ingestion pipelines using Spark (Py Spark/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 Dev Ops to streamline data workflows. Maintain CI/CD, preferably DBX for 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 Architecture End-to-end setup of Databricks workspaces and Unity Catalog Expertise in Delta Lake internals, file compaction, and schema enforcement Advanced Py Spark/SQL skills for ETL and transformations 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 & Dev Ops Familiarity with CI/CD for data engineering using tools like DBX, Terraform, Git Hub Actions, or Azure Dev Ops Proficient in monitoring tools like Cloud Watch, Datadog, or New Relic for data pipelines Bonus/Nice to Have: Experience supporting gaming or real-time analytics workloads Familiarity with Airflow, Kafka, or Event Bridge Exposure to data 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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