GCP Data Architect – Mid-Level

Description

Job Summary: Instivo is seeking a Mid-Level GCP Data Architect to evolve its data platform, working on architecture design, pipeline implementation, data modeling, and analytical solutions on GCP. Key Highlights: 1. Driving the evolution of data platforms and analytical solutions on GCP 2. Developing and maintaining data pipelines (ingestion, transformation) 3. Collaborating with engineering and analytics teams to build datasets Instivo • Remote / Florianópolis – SC About Instivo Instivo is a technology company that develops data and software solutions for the retail, wholesale, and wholesale-retail sectors. Our mission is to transform data into intelligence to support strategic decisions and optimize our clients’ operations. We are looking for a Mid-Level GCP Data Architect to help evolve our data platform, supporting the design and implementation of pipelines, data modeling, and analytical solutions using the Google Cloud Platform ecosystem. What You’ll Do: Support defining and implementing data architectures on Google Cloud Platform (GCP) Develop and maintain data ingestion, transformation, and processing pipelines Design and implement analytical data models in BigQuery Work with structured and unstructured data, ensuring quality and governance Support machine learning and advanced data analytics initiatives using Vertex AI Develop and optimize queries and transformations on large-scale datasets Integrate diverse data sources (APIs, databases, files, and external systems) Collaborate with engineering and analytics teams to build analytical datasets Support creating dashboards and data visualizations using Tableau Ensure best practices for performance, security, and data governance What You Need: Experience with cloud-based data platforms, preferably Google Cloud Platform Experience with BigQuery for data storage and analytics Knowledge of analytical data modeling and data warehousing Advanced SQL experience Experience building data pipelines (ETL/ELT) Familiarity with Vertex AI or other machine learning tools on GCP Experience with data visualization using Tableau or similar tools Knowledge of large-scale data processing Experience integrating data from multiple sources Nice-to-Have: Experience with Apache Spark or distributed processing Experience with Apache Airflow or pipeline orchestration tools Knowledge of Data Lake / Data Warehouse architectures Experience with Python for data manipulation and processing Experience with data governance and data quality Google Cloud Professional Data Engineer certification or similar Competencies Analytical and data-driven thinking Ability to solve complex problems Strong communication skills for collaboration with technical and business teams Organization and attention to detail Continuous interest in evolving with data and analytics technologies **What We Offer:** **Contract Type:** PJ Remote Work Model Alura Ferias\&CO \- travel platform Gympass This is a remote position