Lead Data Platform Engineer | Azure | Databricks | Python

Accountabilities: As a Lead Data Platform Engineer, you will be responsible for driving the architecture, development, and continuous improvement of enterprise-scale data solutions. You will collaborate with engineering teams, architects, and product stakeholders to establish technical direction, improve platform capabilities, and promote engineering excellence.

Lead the technical evolution of the global data platform, ensuring scalability, reliability, and performance.

Define architecture standards, engineering practices, and best practices for solutions built on Azure and Databricks.

Act as a technical reference for engineering teams, supporting architecture decisions, technical discussions, and code reviews.

Design and develop reusable components, frameworks, and accelerators to improve engineering productivity.

Evaluate emerging technologies and recommend improvements to strengthen platform capabilities.

Collaborate with architects, Product Owners, and stakeholders to define technical strategies and roadmaps.

Mentor engineers, share knowledge, and help raise the technical maturity of the team.

Support the adoption of modern development practices, including automation, CI/CD, and cloud-native approaches.

Requirements:

The ideal candidate is a senior data engineering professional with strong technical leadership experience and the ability to influence decisions across multiple teams. You should combine deep expertise in cloud data platforms with strong communication, collaboration, and problem-solving skills.

Proven experience leading complex technical initiatives and defining solutions for large-scale data platforms.

Strong experience designing architectures, standards, and best practices for data engineering environments.

Ability to influence technical decisions across different teams and stakeholders.

Experience conducting code reviews and mentoring other engineers.

Hands-on experience with Databricks.

Strong development skills in Python and/or PySpark.

Knowledge of Microsoft Azure cloud services.

Experience with Git and CI/CD practices.

Experience with Unity Catalog, Delta Live Tables (DLT), or Databricks Asset Bundles (DABs).

Ability to communicate effectively in English within a global environment.

Experience designing enterprise data platforms at scale is highly valued.

Familiarity with technical roadmap definition and cloud/data certifications is a plus.

Experience working in distributed and international teams is an advantage.

Benefits:

Profit-sharing and performance-based incentives.

Health and dental insurance.

Flexible benefits card.

TotalPass wellness program.

Access to mental health support through Zenklub.

Language learning program.

Partnership with FIAP for professional development.

Hybrid work model.

Flexible working hours.

Internal training programs and structured career development plans.

Mentorship program.

Extended parental leave.

Childcare assistance.

Continuous learning initiatives, including live coding sessions, coding dojos, knowledge-sharing events, and team activities.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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