Senior Data Architect

Role Overview

• Implement and operationalize MLOps (model lifecycle, monitoring, traceability and governance), ensuring quality and reliability in production.
• Deploy applications and pipelines according to best practices, structuring environments (DEV/QA/PRD), release criteria and rollback paths.
• Serve as a technical reference, leading alignments, code reviews, mentoring and workshops to raise teams' technical maturity.
• Design, develop and implement robust, scalable and secure data solutions in the Microsoft ecosystem, covering architecture, integration, processing, storage and analytics.
• Define target architecture (Data Lake / Lakehouse) and standardize development practices (versioning, code review, testing, promotion between environments).
• Define and assist in implementing a corporate data governance model, aligned with market frameworks (e.g., DAMA-DMBOK), including roles and responsibilities (data owner/steward), governance councils, policies and corporate standards.
• Structure and operationalize data quality processes, corporate data glossary and data dictionary, taxonomies, lineage and metadata, as well as data metrics and SLAs/SLOs.
• Model data (relational and dimensional), define flows and integrations, focusing on performance, scalability and cost.
• Establish and disseminate data governance and security standards aligned with the Microsoft portfolio, covering access policies, compliance and auditing.
• Monitor system and pipeline performance, identifying bottlenecks and leading optimization and automation initiatives.
• Evaluate and recommend approaches within the Microsoft portfolio, ensuring alignment with business needs and corporate architecture guidelines.
• Document architectures, flows, technical decisions and best practices, keeping repositories and artifacts up to date.

Requirements

• Education: Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Engineering or a related field.
• Proven experience with Microsoft data platforms (Azure) and its ecosystem for ingestion, processing, storage, analysis and orchestration.
• Experience with MLOps in the Microsoft ecosystem, including versioning, environment promotion, monitoring and operation of models in production.
• Previous work with DevSecOps/DataSecOps applied to data and models, focusing on automation, versioning and continuous integration.
• Experience in defining and implementing corporate data governance based on market frameworks (e.g., DAMA-DMBOK), covering policies, standards, roles, processes and metrics.
• Advanced knowledge of metadata management, lineage, glossary/data dictionary, data quality and governance operating models in a corporate context.
• Hands-on experience with Azure Databricks applied to Data Science projects already deployed in production within the Microsoft environment.
• Microsoft certifications on the data and/or analytics track.

Tech Stack

• Azure

Benefits

• Flash card with meal/food allowance of R$ 32.00 per day, accepted at various establishments for you to use as you prefer.
• Home office allowance of R$ 100.00/month and flexible working hours.
• If you work at Vetta’s office in Belo Horizonte, you will receive commuting allowance (Vale-Transporte).
• For your health and well-being, we offer SulAmérica Health Plan and Bradesco Dental Plan, with the possibility to include your dependents.
• WellHub, TotalPass and UniCamente to help you take care of your overall health, with access to fitness activities and professionals from various health fields.
• Discount and Rewards Club, with discounts at various retail and service networks.
• Extended maternity and paternity leave so parents can experience this phase with peace of mind.
• Profit-sharing (PLR)
• according to the union table.
• Birthday Day-Off.
• No Dress Code. Wear what makes you comfortable!
• Continuous Education and Training Incentive Program, so you can keep learning and sharing experiences.
• Employee Referral Program.