Data Architect Specialist – Databricks, AI

Role Overview

• Define, evolve and disseminate the Data and Artificial Intelligence Reference Architecture, establishing standards, frameworks and best practices across the group.
• Diagnose the current Data and AI landscape and propose scalable, resilient architectures aligned with business strategy.
• Lead the evolution of the corporate data platform based on Databricks, ensuring scalability, governance and high availability.
• Design and evolve the corporate AI Agents platform, promoting the use of Generative AI and AI-First architectures to accelerate solution development.
• Define standards for ingestion, transformation, integration, modeling, quality, security, governance and data provisioning.
• Implement and promote Data Mesh, Data as a Product and Federated Governance practices, enabling domain autonomy with shared corporate standards.
• Design and develop reusable components, pipelines, models, AI agents, frameworks and accelerators to optimize squad delivery.
• Structure and evolve a corporate marketplace for sharing data products, models, agents, components and reusable assets.
• Provide technical leadership for the architecture and implementation of strategic Data and Artificial Intelligence initiatives, ensuring compliance with corporate guidelines.
• Serve as a technical reference for Data Engineering, Data Science, Analytics and AI teams, promoting best practices, architectural reviews and continuous improvement.
• Collaborate with Engineering, Cloud, Infrastructure, Security, Governance, Product and Business teams to build a modern, secure platform prepared for organizational growth.
• Keep up with trends, technologies and best practices related to Data Architecture, Generative AI, MLOps, DataOps and Platform Engineering, fostering continuous innovation.

Requirements

• Strong experience in Data Architecture, Data Engineering or Solution Architecture.
• Experience defining enterprise data architectures in cloud environments.
• Advanced knowledge of Databricks, Apache Spark, Delta Lake and Lakehouse architectures.
• Experience with cloud platforms (Azure, AWS or Google Cloud Platform).
• Hands-on experience with ETL/ELT pipelines, data integration and distributed processing.
• Solid knowledge of data modeling, Data Warehousing and Lakehouse architecture.
• Experience with data governance, data catalog, data quality and information security.
• Experience implementing concepts such as Data Mesh, Data as a Product and Federated Governance.
• Knowledge of CI/CD, Git, Infrastructure as Code and DataOps/MLOps practices.
• Experience with microservices-based architecture and APIs.
• Strong communication skills, technical leadership and ability to influence technology and business teams.
• Experience with Generative AI, LLMs, RAG, LangChain, LangGraph, CrewAI or intelligent agent architectures.
• Knowledge of MLOps and LLMOps platforms.
• Experience building corporate AI platforms.
• Experience with data product marketplaces or self-service platforms.

Tech Stack

• Apache
• AWS
• Azure
• Cloud
• ETL
• Google Cloud Platform
• Spark

Benefits

• Remote work – Monday to Friday (9:00 AM to 6:00 PM).
• Home office allowance – R$300.00/month credited to an iFood card for meals/food.
• Birthday – On your special day, Rox gives you a gift card and a day off so you can enjoy it.
• Courses – Full access via RoxSchool, Alura platform, Pluralsight, O'Reilly for books and talks and RoxSchool.
• Certifications – Certification reimbursement up to R$300.00 (TECHNOLOGY) + a R$300.00 bonus per certification achieved from these brands.
• Psychologist support – Two psychotherapy sessions covered monthly by ROX with partner psychologists.
• Feedz partnership – Gamified platform to stay connected, improve communication and track sentiment, engagement, feedback, Individual Development Plan (IDP) and performance.
• WellHub (Gympass) – Partnership with gyms and health & wellness apps.
• We provide the work equipment.