Lead Data Architect

Há 21 horas


Curitiba PR, Brasil beBeeDataModeler Tempo inteiro

Job Opportunity We are seeking a highly skilled Data Modeler to join our team. About the Role: This position involves designing, developing, and maintaining robust data models and SQL-based solutions with a focus on Google Cloud Platform. Key Responsibilities: Design and implement scalable and efficient relational and dimensional data models. Develop, optimize, and maintain complex SQL queries, stored procedures, and functions. Ensure data quality and integrity across various data sources and reporting layers. Google Cloud Platform Expertise: Utilize GCP services such as BigQuery, Cloud SQL, and Dataflow for data storage, processing, and analysis. Implement and manage cloud-based data warehouses and data lakes on GCP. Develop and maintain infrastructure-as-code solutions for GCP data environments using tools like Terraform. Monitor and optimize GCP resource performance and cost for data platforms. Collaboration and Communication: Serve as a primary liaison among business leads, product managers, and data/engineering teams. Facilitate demos, knowledge-sharing sessions, and best-practice documentation for data solutions. Promote adoption of new data capabilities and practices; gather feedback for continuous improvement. Release and Change Management: Coordinate release plans, timelines, and stakeholder readiness for data model and SQL deployments. Ensure training, job aids, and rollout communications are prepared and delivered for data solutions. Track post-release issues, adoption, and stabilization metrics related to data platforms. Requirements: Ability to produce and manage work autonomously and take initiative. A 'can-do' attitude with unwavering ethics and a willingness to help others. Exceptional relationship-building skills, cultural competency, and ability to communicate effectively with diverse groups of people and roles. Willingness to embrace relational nuances, own personal mistakes, be empathetic, address conflicts directly and transparently, and commit to self-reflection and self-betterment. Dexterity to effectively deal with ambiguity, change, and continuous process improvements. Strong business analysis fundamentals: elicitation, documentation, process mapping, traceability, UAT.


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