Chief Data Infrastructure Engineer

Há 3 dias

Brasil beBeeData Tempo inteiro R$60.000 - R$72.000
Senior Data Architect Job Description

We are seeking a highly skilled Senior Data Architect to design and evolve scalable, high-performance data systems in the cloud.

This strategic technical role is responsible for defining architecture and guiding engineering across the entire data platform—from ingestion to analytics.

The successful candidate will work closely with data engineering, software development, product, and business teams to ensure the data architecture supports current and future business needs.

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 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: 7+ years in data architecture or senior-level data engineering roles, with strong experience in 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.

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