Chief Data Engineering Officer

Há 19 horas


Vitória da Conquista, Bahia, Brasil beBeeData Tempo inteiro R$72.000 - R$108.000
Senior Data Architect

We are seeking a seasoned data architect to spearhead the design and implementation of high-performance data systems in cloud environments.

This role requires a deep understanding of data architecture, engineering, and analytics. The successful candidate will have extensive experience in designing scalable architectures for data lakes, data warehouses, and operational data stores.

Achieving business outcomes through data-driven insights is critical to our success. As a senior data architect, you will lead cross-functional teams and collaborate with stakeholders to deliver high-performing data architectures that meet the needs of business and analytics teams.

Responsibilities:
  • Design and evolve robust data architectures for cloud environments, focusing on scalability, reliability, and performance.
  • Develop and optimize real-time and batch data pipelines using tools like Apache Airflow, Pentaho, PL/SQL, and Bash scripting.
  • Architect and implement parallel processing workflows to support high-volume ingestion and transformation of structured and unstructured data.
  • Deliver AI-driven data insights to drive business decisions and leverage AI tools to accelerate engineering projects.
  • Ensure data quality and governance throughout the pipeline lifecycle, including validation, auditing, and reconciliation.
  • 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:
  • 7+ years of experience in data architecture or senior-level data engineering roles, with strong expertise in cloud-native data platforms.
  • Deep knowledge of PL/SQL, Bash scripting, parallel data processing, AI/ML modeling, and performance optimization in a cloud environment.
  • Strong experience designing scalable systems and cloud-first data platforms (OCI preferred).
  • Pipeline mastery: skilled in building and maintaining modern ETL/ELT pipelines, real-time data flows, and orchestration with Apache Airflow or similar.
  • Governance & Validation: strong grasp of data quality, data validation, metadata management, and governance best practices.
  • Tool agnostic: comfortable working with multiple tools, platforms, and formats.
  • Business alignment: ability to understand the needs of business and analytics teams and deliver high-performing data architectures to meet those needs.
  • Team leader: excellent communication, collaboration, and mentoring skills; experience leading cross-functional efforts and mentoring engineers.
Preferred Qualifications:
  • Experience with 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:
  • The opportunity to contribute to a leading company driving data innovation.
  • A fully remote position with a structured schedule that supports work-life balance.
  • Two weeks of paid vacation per year.
  • 10 paid days for local holidays.

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