Data Warehouse Architect

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