Lead Data Platform Engineer
New
J
JobgetherData Engineering
BrazilFull-TimeLead
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- PythonGitAzureData engineeringCI/CDDatabricksPySpark
Requirements
- 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.
Responsibilities
- 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.
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