Data Tech Lead (Databricks)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Tech Lead (Databricks): Leading and supporting data engineering teams in delivering scalable, high-quality data solutions with an accent on Databricks and modern cloud platforms. Focus on driving technical excellence, mentoring engineers, and ensuring robust data architecture for global enterprise clients.
Location: Must be based in Brazil (Remote)
Company
is a global digital transformation partner helping large enterprises leverage AI and modern technology to drive business impact.
What you will do
- Lead and support multiple data engineering teams in a collaborative environment.
- Design and oversee scalable data solutions using Databricks and cloud technologies.
- Define and enforce coding standards, architecture principles, and documentation guidelines.
- Conduct code reviews and provide technical feedback to ensure maintainability and performance.
- Partner with clients to understand business requirements and act as a trusted technical advisor.
- Establish quality assurance processes focused on data integrity and reliability.
Requirements
- Advanced English communication skills (written and spoken).
- Strong hands-on experience with Databricks and Apache Spark.
- Proven experience leading technical teams and mentoring engineers.
- Solid experience with cloud data platforms (AWS, Azure, or GCP).
- Strong programming skills in Python, Scala, or Java.
- Experience with data modeling, ETL/ELT pipelines, and data warehousing.
Nice to have
- Experience in consulting environments with international clients.
- Knowledge of Lakehouse architectures and data governance frameworks.
- Experience with CI/CD, DevOps, and Infrastructure as Code.
- Relevant certifications in Databricks or Cloud platforms.
Culture & Benefits
- Work on large-scale, data-driven transformation initiatives for global clients.
- Collaborative and growth-oriented environment with a focus on AI-native execution.
- Opportunities to influence technical strategy and mentor high-performing teams.
- Access to professional development and career growth programs.
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