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Lead data architect

Bragança
TMC
Anunciada dia 23 abril
Descrição

About the CompanyWe are looking for a Senior Data Engineers and Scientists. Your mission will be to lead initiatives end-to-end, inspire a data-driven culture, and contribute to shaping a unified vision for our data products.About the RoleLead initiatives end-to-end, from ideation to execution, and manage the full product lifecycle.ResponsibilitiesDefine and implement governance frameworks, data quality standards, and metadata management strategies. Work with platform users to ensure every development delivers tangible value. Drive priorities and roadmaps, ensuring the creation of scalable and impactful data solutions.QualificationsExpertise in Data Platforms and Architecture: In-depth knowledge of data architecture patterns, analytics engineering, and scalable data platforms. Data Modeling and Analysis: Proficient in dimensional modeling, advanced SQL, and applying different modeling techniques to suit business needs. Governance and Quality Standards: Experience in designing frameworks for governance, metadata, cataloging, and aligning product definitions. Cloud Knowledge: Familiarity with modern cloud platforms like Fabric, Azure, AWS, or GCP, including expertise in one or more cloud data warehouses. Analytical Tools: Proficiency in BI tools like Tableau, Looker, or Power BI. Cost and Compliance Awareness: Forward-thinking in cost-effective solutions, with a strong understanding of privacy and compliance in data. Technical Knowledge: Conceptual understanding of CI/CD pipelines, ML workflows, feature engineering, and defining SLAs, data contracts, and quality agreements.Required SkillsIn-depth knowledge of data architecture patterns. Proficient in dimensional modeling and advanced SQL. Experience in designing governance frameworks. Familiarity with cloud platforms like Fabric, Azure, AWS, or GCP. Proficiency in BI tools like Tableau, Looker, or Power BI. Understanding of privacy and compliance in data. Conceptual understanding of CI/CD pipelines and ML workflows.Preferred SkillsExperience with scalable data platforms. Ability to drive priorities and roadmaps. Strong analytical skills.

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