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.