Senior Data Architect

Há 7 dias

Amapá, Brasil beBeeData Tempo inteiro R$57.600 - R$72.000
Job Summary

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 is an exciting opportunity to contribute to a leading company driving data innovation in the foodservice industry.

Key Responsibilities
  • Design and evolve robust, scalable 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.
  • 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, 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.
  • 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
  • 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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