Data Warehouse Architect

Avm Consulting Inc; Teletrabalho; BRL 653.000 - 871.000; Tempo integral

Resumo da oferta

A leading consulting firm is looking for a Data Warehouse Architect to design and implement a new Databricks Lakehouse. The role involves architecting scalable pipelines, optimizing performance, and integrating real-time data sources. Ideal candidates should have expertise in Databricks and AWS-native services, along with strong data modeling skills. This remote opportunity offers the chance to lead data architecture for a major gaming client.

Qualificações

• Expertise in Delta Lake internals and schema enforcement.
• Knowledge of IAM and VPC configuration for secure cloud integrations.
• Experience with monitoring tools like CloudWatch and Datadog.

Responsabilidades

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

Conhecimentos

Databricks / Lakehouse Architecture

Advanced PySpark / SQL skills

AWS Native Integration

Data Warehousing & Modeling

Automation & DevOps

Ferramentas

AWS Glue

S3

Redshift

Descrição da oferta de emprego

Databricks Data Warehouse Architect

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 (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: LATAM region - Remote, USA - Remote.
• Length: 1+ Year.
• Client: Gaming giant.