Data Architect

Description

Job Summary: We are seeking a Data Architect to design and evolve Lakehouse architectures, define scalable data pipelines, and ensure data governance, working in a challenging and high-impact environment. Key Highlights: 1. Professional growth and development in an advanced technological environment. 2. Participation in high-impact projects with experts. 3. Continuous training and a personalized career plan. **Join Bluetab** -------------------- At Bluetab, we don’t hire “resources.” We hire talent that is serious about growing. We are tech-focused, demanding, and yes—we move fast. But here, no one works alone. We collaborate as a team, without unnecessary hierarchies, and with a genuine focus on development. If you seek challenges that push you beyond your comfort zone (because that’s where no one grows), you’re in the right place. Here, you’ll learn from experts, work on high-impact projects, and stay consistently ahead in technology. Requirements * Bachelor’s degree or equivalent in Systems Engineering, Computer Science, Software Engineering, or related fields. * Minimum **6 years of experience in technology projects**, and **over 3 years as a Data Architect**. * Experience designing and implementing **Lakehouse architectures on Azure**, and end-to-end data solutions. * Experience with **Big Data architectures** in both On-Premise and Azure Cloud environments, including participation in Proof-of-Concept (PoC) initiatives. * Experience with **Medallion models (RDV, UDV, and DDV)**. * Experience developing with **Spark** and **Python**, and integrating **batch** and **near real-time** data. * Experience with Data Governance using **Unity Catalog** and **Microsoft Purview**. * Knowledge of **FinOps principles** for cost optimization in data platforms. * Proficiency in **Azure Databricks** (Notebooks, Workflows, and SQL Warehouses), **Azure Data Factory**, **Azure Data Lake Storage (ADLS)**, **Blob Storage**, **Azure SQL**, **Azure Event**, and data pipelines. * Integration with **Power BI**, and management tools such as **Azure DevOps**, **Jira**, **GitHub**, and **Trello**. ###### **Desirable Knowledge** * Experience in regulated sectors such as banking, insurance, or finance. * Familiarity with **DAMA** and best practices in Data Architecture. * Experience working under **Chapter** or **Center of Excellence (CoE)** models. * Proficiency in Agile methodologies. **What Are the Responsibilities?** * Design and evolve the enterprise data architecture under the **Lakehouse model**. * Define and implement scalable data pipelines using Spark, event-driven architectures, and CI/CD practices. * Provide technical guidance to Data Engineering, Analytics, and Data Science teams. * Ensure compliance with Data Governance guidelines through Unity Catalog and Purview. * Review and validate architectural proposals, ensuring quality, security, scalability, and cost optimization (FinOps). * Guarantee documentation and traceability of solutions, promoting standards defined by the Chapter and CoE. **Profile That Fits** ------------------------- * You are passionate about technology and keep up-to-date (because falling behind is not an option). * You work goal-oriented and aren’t intimidated by demanding environments. * You communicate clearly and know how to build trust with clients and teammates. * You analyze, solve problems, and negotiate with sound judgment. * You are autonomous, collaborative, and adapt well to flat organizational structures. **What You Get** -------------------- * Indefinite-term contract \+ competitive salary aligned with your level and performance. * Continuous training (real, not superficial). * Personalized career plan: technical, functional, or managerial—you choose your path. * Solid benefits: savings fund, medical insurance, vouchers, vacation days exceeding legal requirements, and more. **If You Want Serious Growth** ----------------------------------- Bluetab, an IBM Company, is for those who seek impact, growth, and teamwork. If technology drives you and you want to play at another level, apply now. Let’s talk.