Sobre

• About the Job

• As a Senior BI Technical Lead, you will guide the development of our analytics ecosystem, ensuring scalable architectures, high-quality dashboards, and reliable data products. You will work closely with the BI team and Data Engineering to define best practices, lead technical decisions, and integrate AI-driven capabilities into our solutions. Your work will directly empower teams across the organization to make faster, more informed, and data-driven decisions.

• Responsibilities
• Provide technical leadership to the BI team, defining standards, best practices, and technical guidelines.
• Design, evolve, and maintain robust analytical architectures, ensuring governance, performance, and metric consistency.
• Lead the development and optimization of dashboards, analytical models, integrations, and semantic layers.
• Incorporate AI and automation into analytical solutions, including agents, LLMs, and intelligent insight-generation processes.
• Collaborate closely with the Data Engineering team to ensure alignment across pipelines, models, and analytical solutions.
• Review deliverables, guide technical decisions, and ensure high-quality execution.
• Support prioritization, tracking, and end-to-end delivery of BI initiatives.
• Explore new technologies, prototype solutions, and promote continuous innovation within the analytics environment.
• Facilitate communication and alignment between technical teams, product, and internal stakeholders.
• Minimum Qualifications
• Solid experience (minimum 4–6 years) in BI, Data Engineering, or related fields.
• Advanced proficiency in SQL and data modeling (dimensional, relational, and analytical).
• Strong hands-on experience with BI tools (Power BI, Tableau, Looker, Metabase).
• Experience with analytical pipelines, ETL/ELT processes, and data integrations.
• Familiarity with LLMs, agents, and practical AI applications within BI solutions.
• Knowledge of Python for advanced analyses, automation, and data processing.
• Practical experience with automation across the analytical lifecycle.
• Proven ability in technical leadership, team guidance, and implementation of best practices.
• Dynamic, adaptable profile with strong learning ability and a proactive mindset.
• Experience working closely with Data Engineering and participating in architectural decisions.
• Intermediate/advanced English for communication with clients and vendors.
• Preferred Qualifications
• Experience with cloud environments (AWS, Azure, or GCP), including data services, storage, and analytical processing.
• Knowledge of DataOps, MLOps, or advanced governance frameworks.
• Previous experience in tech environments, digital products, or startups.
• Experience with orchestration tools (Airflow, dbt).

• At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination. Do you share our values? Then don’t wait—apply today!