Senior Cloud Data Architect

Há 15 horas

Tocantins, Brasil beBeeData Tempo inteiro R$60.000 - R$72.000
Job Description

We are seeking a senior data architect to design and evolve scalable, high-performance data systems in cloud environments. This is a strategic technical role responsible for defining architecture and guiding engineering across our entire data platform from ingestion to analytics.

This position works closely with data engineering, software development, product, and business teams to ensure that our data architecture supports current and future business needs and builds an AI-first engineering process for rapidly building new products.

The ideal candidate will be passionate about designing cloud-native, reliable, and governed data ecosystems that fuel critical insights.

Key Responsibilities
  • Design and evolve robust architectures for data lakes, data warehouses, data marts, 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 for the food service industry and leverage AI tools to increase the rate of delivery for engineering projects.
  • Ensure data quality and governance across the entire 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.
Requirements
  • Proven expertise in data architecture or senior-level data engineering roles with strong experience in cloud environments and enterprise-scale data systems.
  • Hands-on technical skills including deep knowledge of PL/SQL, Bash scripting, parallel data processing, AI/ML modeling, and performance optimization in a cloud environment.
  • Cloud-native thinking with strong experience designing scalable systems and cloud-first data platforms.
  • Pipeline mastery with skilled experience building and maintaining modern ETL/ELT pipelines, real-time data flows, and orchestration with Apache Airflow or similar.
  • Governance and validation with a strong grasp of data quality, data validation, metadata management, and governance best practices.
  • Tool-agnostic with comfortable working with multiple tools, platforms, and formats.
  • Business alignment with ability to understand the needs of business and analytics teams and deliver high-performing data architectures to meet those needs.
  • Team leadership with excellent communication, collaboration, and mentoring skills and 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.
What We Offer
  • 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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