Data Warehouse Architect

4 semanas atrás

São Paulo, 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 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

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