Serve as the technical reference for the data engineering team, guiding architectural decisions, defining standards and promoting best practices;
Define, evolve and sustain a Lakehouse-based data architecture using Databricks;
Design and implement large-scale data ingestion, processing and delivery pipelines;
Ensure performance, availability, security and governance of data assets;
Collaborate with product, technology and business teams to translate analytical needs into sustainable, scalable technical solutions;
Establish and promote DataOps practices, version control, automated testing and continuous integration for data pipelines;
Review technical deliveries, ensuring quality, consistency and adherence to defined standards;
Monitor platform costs and operational efficiency, driving continuous optimizations;
Support technical prioritization and planning for the evolution of the data platform;
Identify technical risks and propose continuous improvements to architecture, processes and operations;
Orchestrate complex workflows with proactive monitoring and implementation of intelligent alerts;

Previous experience in a technical leadership role or coordinating data teams
Proven experience in data engineering or data architecture within enterprise environments
Advanced SQL skills and proficiency in at least one data-processing language such as Python, Scala or similar
Strong hands-on experience with Databricks (Spark, Delta Lake, Jobs and notebooks)
Experience designing data architectures in cloud environments, preferably Microsoft Azure
Experience with analytical data modeling and distributed processing
Knowledge of data governance, data quality and data security practices
Ability to communicate effectively with both technical and non-technical audiences

Preferred Qualifications

Meal allowance / Food voucher
Health insurance
Dental insurance
Day off
Gympass / Totalpass
Childcare assistance
Pet care assistance
Fuel allowance
Home office allowance
Educational reimbursement
Free online health platform
E-learning – Stefanini Academy with a variety of courses
Mentoring – Mentoring platform (an opportunity to meet people, develop skills and share experiences)
Discounts for undergraduate, postgraduate, language courses and other training institutions
Benefits and discounts at partner establishments

Tech Lead, Databricks

Key skills