Chief Data Platform Architect

Há 23 horas

Natal, Rio Grande do Norte, Brasil beBeeData Tempo inteiro US$60.000 - US$72.000
Job Description

Our company is a leading entity where data drives insights and architecture drives impact. We provide advanced analytics and real-time data pipelines that power the foodservice supply chain.

We are seeking an experienced Data Architect to design and evolve scalable, high-performance data systems in Oracle Cloud Infrastructure (OCI) and beyond. This is a strategic technical role responsible for defining architecture and guiding engineering across our entire data platform—from ingestion to analytics.

The ideal candidate will work closely with data engineering, software development, product, and business teams to ensure our data architecture supports current and future business needs and build an AI-first engineering process for rapidly building new products.

This is an opportunity to contribute to a leading company driving data innovation in the foodservice industry. We offer a fully remote position with a structured schedule that supports work-life balance and two weeks of paid vacation per year.

Required Skills & Qualifications
  • Proven expertise in data architecture or senior-level data engineering roles, with strong experience in OCI 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 (OCI preferred; AWS/Azure also relevant).
  • Pipeline mastery, skilled in building and maintaining modern ETL/ELT pipelines, real-time data flows, and orchestration with Apache Airflow or similar.
  • Governance & validation, with a strong grasp of data quality, data validation, metadata management, and governance best practices.
  • Tool-agnostic, comfortable working with multiple tools, platforms, and formats—CSV, JSON, APIs, Pentaho, Oracle or other relational and NoSQL databases like MySQL, Postgres, MongoDB, Cosmos DB, etc.
  • 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.
Benefits

Preferred qualifications include experience with supply chain, analytics platforms, and/or foodservice data domains, background in designing self-service data platforms and data product models, and knowledge of security and compliance frameworks relevant to data platforms.

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