Chief Data Architect

Há 16 horas

Aracaju, Sergipe, Brasil beBeeData Tempo inteiro US$85.000 - US$95.000

Join our community of innovators and leaders in data engineering.

About the Role:
  • We are seeking a talented Chief Data Engineer to lead the delivery of cutting-edge data solutions.
  • This is a unique opportunity to drive technical excellence, oversee system architecture design, and contribute to impactful projects that address complex data challenges.
Key Responsibilities:
  • Develop and implement scalable, efficient data architectures that meet business needs.
  • Design and build data pipelines and workflows to ensure quality and accessibility.
  • Collaborate with stakeholders to define requirements and deliver data solutions.
  • Provide mentorship and technical guidance to engineering teams.
  • Optimize system performance, scalability, and reliability across projects.
  • Define technical best practices and maintain high coding standards.
  • Conduct code reviews and actively participate in technical discussions.
  • Support client engagements, pre-sales efforts, and critical team initiatives.
  • Share expertise through knowledge-sharing sessions and technical talks.
  • Stay informed about emerging technologies and integrate relevant solutions.
Requirements:
  • A degree in Engineering, Computer Science, or a related discipline.
  • 7+ years working as a Data Engineer with at least two years of leadership experience managing teams and projects.
  • Participation in at least two full-cycle projects or multiple phases of development lifecycles.
  • A history of hands-on problem-solving and technical contributions.
  • Proficiency in Python for data processing, analysis, and automation.
  • Knowledge of Amazon Web Services (AWS) for cloud-based solutions.
  • Expertise in Databricks for big data analytics and machine learning workflows.
  • Strong system design skills, balancing high-level vision with detailed implementation.
  • A demonstrable track record of driving technical impact in projects.
  • Competency in multiple technical domains and a broad cross-disciplinary background.
  • A commitment to mentoring and knowledge-sharing within teams and communities.
  • The ability to introduce and implement new tools, frameworks, or methodologies.
  • Flexibility to adapt to varying programming languages, tech stacks, and development domains.
  • Fluent English communication skills at a B2 level or higher.

This is an opportunity to work on international projects with top brands, collaborate with global teams of highly skilled peers, and take advantage of employee benefits, paid time off, sick leave, upskilling opportunities, and unlimited access to the LinkedIn Learning library.

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