Senior Cloud Data Solutions Architect

Há 6 horas

Porto Alegre, Rio Grande do Sul, Brasil beBeeData Tempo inteiro R$60.000 - R$72.000

Job Overview

We are seeking a Senior Data Architect to lead the design and implementation of scalable, high-performance data systems in cloud environments. This is a strategic technical role responsible for defining architecture and guiding engineering across the entire data platform—from ingestion to analytics.

  • Main Responsibilities:
  • Design 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 parallel processing workflows to support high-volume ingestion and transformation of structured and unstructured data.
  • Deliver AI-driven data insights for various industries and leverage AI tools to increase efficiency in engineering projects.
  • Ensure data quality and governance across the pipeline lifecycle, including validation, auditing, and reconciliation.
  • Collaborate with stakeholders to translate functional and non-functional requirements into technical data architecture solutions.
  • Lead cross-functional teams in best practices for data modeling, pipeline design, and cloud infrastructure optimization.
  • Establish data standards and policies to ensure data security and compliance.
  • Optimize ETL processes for performance and scalability.

About You

  • Requirements:
  • 7+ years in data architecture or senior-level data engineering roles, with strong experience in cloud-scale data systems.
  • Proven expertise leveraging AI to deliver architectures, data pipelines, and applications.
  • 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.
  • Skilled in building modern ETL/ELT pipelines, real-time data flows, and orchestration.
  • Strong grasp of data quality, metadata management, and governance best practices.
  • Ability to understand business needs and deliver high-performing data architectures.
  • Excellent communication, collaboration, and mentoring skills.

Preferred Qualifications:

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

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