Cloud-Driven Senior Data Expert

1 semana atrás

Manaus, Amazonas, Brasil beBeeData Tempo inteiro US$50.000 - US$60.000
Senior Data Architect Position

The ideal candidate will have experience in designing and evolving scalable data systems, as well as a strong understanding of cloud-based technologies. They should be skilled in building and maintaining modern ETL/ELT pipelines and real-time data flows.

  • Key Responsibilities:
  • Design and implement robust data architectures for cloud environments.
  • Develop and optimize real-time and batch data pipelines using various tools.
  • Architect and implement parallel processing workflows to support high-volume ingestion and transformation of structured and unstructured data.
  • Deliver AI-driven data insights and leverage AI tools to increase the rate of delivery for engineering projects.
  • Ensure data quality and governance across the entire pipeline lifecycle.
  • Collaborate with business stakeholders to translate functional and non-functional requirements into technical data architecture solutions.
  • Lead and mentor data engineers and cross-functional teams in best practices for data modeling, pipeline design, and cloud infrastructure optimization.
  • Establish data standards, policies, and frameworks to ensure data security, compliance, and operational resilience.

Requirements:

  • Proven expertise in data architecture or senior-level data engineering roles.
  • Hands-on technical skill in PL/SQL, Bash scripting, parallel data processing, and AI/ML modeling.
  • Cloud-native thinking with strong experience designing scalable systems and cloud-first data platforms.
  • Pipeline mastery with skills in building and maintaining modern ETL/ELT pipelines and real-time data flows.
  • Governance and validation with strong grasp of data quality and metadata management.
  • Tool agnostic with comfort working with multiple tools and formats.
  • Business alignment with ability to understand the needs of business and analytics teams.

Preferred Qualifications:

  • Experience in supply chain, analytics platforms, and/or foodservice data domains.
  • Background in designing self-service data platforms and data product models.
  • Knowledge of security and compliance frameworks relevant to data platforms.

Benefits:

  • Opportunity to contribute to a leading company driving data innovation in the foodservice industry.
  • Fully remote position with a structured schedule that supports work-life balance.
  • Two weeks of paid vacation per year.
  • Ten paid days for local holidays.

Important Notes:

This is a full-time dedicated team member role. The ideal candidate will be eager to fully integrate within the team.

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