Data Architect Specialist – Databricks, AI

Rox Partner

Data Architect focusing on Databricks and AI at Rox Partner, a growing data consultancy in Brazil.

Posted 7/11/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Architecture, Data Engineering, and Solution Architecture, with a strong focus on implementing scalable and resilient data platforms using Databricks and cloud technologies. Proficient in promoting best practices in data governance, data quality, and the development of AI-driven solutions.

Highest-signal resume keywords

Data ArchitectureDatabricksCloud PlatformsData GovernanceGenerative AI

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Hard Skills

Data EngineeringETL/ELT PipelinesData ModelingData WarehousingData MeshData as a ProductCI/CDMicroservices-Based ArchitectureAPIsMLOps

Soft Skills

Strong Communication SkillsTechnical LeadershipInfluencing Technology Teams

Tools & Technologies

Apache SparkDelta LakeAzureAWSGoogle Cloud PlatformDataOpsLangChainLangGraphCrewAI

Industry Keywords

Data GovernanceData QualityInformation SecurityCorporate AI PlatformsData Product Marketplaces

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLGoogle Cloud PlatformSpark

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

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.