
Senior GCP Data Architect
Compass
full-time
Posted on:
Location Type: Remote
Location: Brazil
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Job Level
About the role
- Design, define, and implement the data platform on Google Cloud Platform (GCP);
- Create, evolve, and optimize cloud data warehouses using BigQuery;
- Design and implement scalable, high-performance data architectures;
- Develop data processing pipelines using batch and streaming models;
- Orchestrate data workflows and integrations using Apache Airflow;
- Manage structured, semi-structured, and unstructured data, ensuring data quality, security, and governance;
- Implement integrations with APIs and Business Intelligence (BI) tools;
- Define best practices for data modeling, standardization, and data governance;
- Work collaboratively with technical teams and business stakeholders to define data-driven solutions;
- Ensure operational efficiency, reliability, and scalability of the data platform.
Requirements
- Proven experience with Google Cloud Platform (GCP), with strong expertise in BigQuery and the cloud data ecosystem;
- Experience in data orchestration with Apache Airflow;
- Proficiency in SQL and Python;
- Experience processing and analyzing large volumes of data using Apache Spark;
- Knowledge of data consumption and integration via APIs;
- Experience with Business Intelligence tools and concepts;
- Knowledge of data architecture, modeling, and data engineering best practices;
- Experience working in collaborative agile environments using Scrum, Kanban, and tools such as Azure DevOps.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
Google Cloud PlatformBigQuerydata architecturedata processing pipelinesSQLPythonApache SparkApache Airflowdata modelingdata engineering
Soft Skills
collaborationcommunicationproblem-solvingorganizational skillsstakeholder engagementagile methodologiesteamworkadaptabilitycritical thinkingattention to detail