Data Warehouse Architect

Avm Consulting Inc; Teletrabalho; BRL 653.000 - 817.000; Tempo integral

Resumo da oferta

A leading consulting firm is seeking a Data Warehouse Architect skilled in Databricks and AWS-native services. The role involves designing and implementing a new Lakehouse architecture while optimizing data workflows. Candidates should have expertise in data modeling, ETL processes, and automation practices. The position is remote, offering an opportunity to collaborate with cross-functional teams in a dynamic environment. A passion for data architecture is essential for success in this role.

Qualificações

• Hands-on experience with Databricks and data warehouse design.
• Strong understanding of dimensional modeling techniques.
• Proficient in monitoring tools like CloudWatch and Datadog.

Responsabilidades

• Design and deploy a new Databricks Lakehouse instance.
• Architect and implement data ingestion pipelines using Spark.
• Collaborate with product teams to streamline data workflows.

Conhecimentos

Databricks/Lakehouse Architecture

Advanced PySpark/SQL skills for ETL

AWS Native Integration

Data Warehousing & Modeling

Automation & DevOps

Ferramentas

AWS Glue

Delta Lake

Terraform

GitHub Actions

Descrição da oferta de emprego

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