Especialista de Arquitetura de Dados

BrazilFull-timePosted Jul 10, 2026
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Especialista de Arquitetura de Dados based in Brazil.

This is an opportunity for a senior data professional to lead the evolution of modern data platforms and architectures at scale.
The role focuses on designing robust, scalable, and efficient solutions that enable smarter business decisions through high-quality data.
You will act as a technical reference, influencing architecture strategies and supporting multiple teams across the organization.
The position combines hands-on technical expertise, strategic thinking, and strong collaboration with engineering, product, security, and business teams.
You will help shape data ecosystems, improve operational excellence, and drive innovation through modern engineering practices.
The ideal candidate thrives in complex environments, enjoys solving large-scale challenges, and is passionate about building impactful data solutions.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Especialista de Arquitetura de Dados based in Brazil.

This is an opportunity for a senior data professional to lead the evolution of modern data platforms and architectures at scale.
The role focuses on designing robust, scalable, and efficient solutions that enable smarter business decisions through high-quality data.
You will act as a technical reference, influencing architecture strategies and supporting multiple teams across the organization.
The position combines hands-on technical expertise, strategic thinking, and strong collaboration with engineering, product, security, and business teams.
You will help shape data ecosystems, improve operational excellence, and drive innovation through modern engineering practices.
The ideal candidate thrives in complex environments, enjoys solving large-scale challenges, and is passionate about building impactful data solutions.

Accountabilities:

    As an Especialista de Arquitetura de Dados, you will be responsible for guiding technical decisions, improving data capabilities, and ensuring the scalability, reliability, and quality of data platforms. You will collaborate with different teams to define strategies, optimize processes, and promote engineering excellence through best practices.

    • Act as a technical reference across multiple data teams, ensuring consistency, quality, and alignment with product and technology strategies.
    • Lead end-to-end data architecture decisions, including lakehouse, data warehouse, streaming, batch processing, and real-time solutions, considering scalability, performance, cost, and resilience.
    • Drive the evolution of data ingestion, processing, quality, and availability pipelines at large scale.
    • Ensure operational excellence of critical data pipelines through clear SLAs, observability practices, monitoring, data quality controls, and troubleshooting processes.
    • Develop the Data Platform as an internal product, improving self-service capabilities and standardizing engineering practices.
    • Mentor data engineers and developers at different experience levels, encouraging technical growth and knowledge sharing.
    • Identify and solve structural challenges related to infrastructure costs, processing efficiency, data quality, technical debt, and organizational complexity.
    • Serve as a technical partner for Product, Software Engineering, Infrastructure, Security, and business teams.
    • Requirements:

      The ideal candidate should have strong experience in data architecture, engineering, and large-scale platform development, combined with excellent communication skills and the ability to influence technical decisions.

      • Proven experience leading complex projects involving the creation or evolution of Data Platforms.
      • Strong technical background in data engineering, with practical experience designing and managing large-scale ETL/ELT pipelines.
      • Experience with technologies such as Databricks, Spark, Kafka, Mage, Airflow, or similar data processing tools.
      • Advanced knowledge of modern analytical architecture concepts, including lakehouse, data warehouse, streaming, batch processing, open data formats, and analytical modeling patterns.
      • Ability to make strategic technical decisions in complex environments with multiple stakeholders.
      • Experience designing observability solutions, including metrics, alerts, dashboards, and monitoring strategies for complex systems.
      • Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
      • Knowledge of cloud infrastructure costs, optimization strategies, and architectural trade-offs between managed and custom solutions.
      • Nice-to-have qualifications:

        • Experience in B2B SaaS companies or data-intensive industries such as supply chain, retail, fintech, advertising technology, or telecommunications.
        • Experience building customer-facing data products.
        • Familiarity with integrating AI and machine learning capabilities into existing data platforms.
        • Experience modernizing analytical technology stacks, including migrations to lakehouse architectures.
        • Knowledge of Data Governance and Data Quality practices.
        • Relevant cloud certifications or experience with governance frameworks such as DAMA-DMBOK or DCAM.
        • Benefits:

          The company offers a benefits package designed to support employees’ professional growth, personal wellbeing, and work-life balance.

          • Remote or hybrid work options available for candidates based in Brazil.
          • Flexible working hours.
          • Health insurance, dental insurance, and life insurance extended to eligible dependents.
          • Medication assistance program, including support for children.
          • Transportation allowance or parking assistance for eligible locations.
          • Flexible meal and food allowance.
          • Access to wellbeing programs, fitness platforms, and health initiatives.
          • Birthday day off to celebrate in the way that works best for you.
          • Parental support programs for new parents.
          • Professional development opportunities through external learning platforms and training programs.
          • Childcare assistance and extended parental leave.
          • Employee referral program with bonuses and additional company benefits.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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