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-on

Data Architect with DataWarehouse 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 (PySpark / 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 DevOps to streamline data workflows. Maintain CI / CD, preferably

DBX

for data pipelines using GitOps 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

PySpark / 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 & DevOps

Familiarity with

CI / CD for data engineering

using tools like DBX, Terraform, GitHub Actions, or Azure DevOps Proficient in

monitoring tools

like CloudWatch, Datadog, or New Relic for data pipelines Bonus / Nice to Have :

Experience supporting

gaming or real-time analytics workloads Familiarity with

Airflow ,

Kafka , or

EventBridge 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