Chief Cloud Data Strategist

Há 21 horas

Belém, Pará, Brasil beBeeData Tempo inteiro R$72.000

As a Senior Data Architect, you will design and evolve high-performance data systems in cloud environments. This role is responsible for defining architecture and guiding engineering across the entire data platform.

You will work closely with cross-functional teams to ensure the data architecture supports current and future business needs.

This position requires strong experience in designing scalable systems, cloud-first data platforms, and modern ETL/ELT pipelines. The ideal candidate has a deep understanding of data quality, metadata management, and governance best practices.

Key Responsibilities:
  • Design and evolve robust architectures for data lakes, data warehouses, and operational data stores in cloud environments.
  • 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 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 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.

What We're Looking For:

  • Proven Expertise: 7+ years in data architecture or senior-level data engineering roles, with strong experience in cloud environments and enterprise-scale data systems.
  • Hands-On Technical Skill: Deep knowledge of PL/SQL, Bash scripting, parallel data processing, AI/ML modeling, and performance optimization in a cloud environment.
  • Cloud-Native Thinking: Strong experience designing scalable systems and cloud-first data platforms.
  • 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.
  • Business Alignment: Ability to understand the needs of business and analytics teams and deliver high-performing data architectures to meet those needs.
Benefits:
  • Full 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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