Data Architect – Data Specialist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Define comprehensive data architecture encompassing integration, storage, processing, and consumption.

• Set standards for conceptual, logical, and relational/dimensional modeling, as well as data quality, metadata, lineage, and lifecycle management.

• Design, optimize, and implement strategies for data ingestion, transformation (ETL/ELT), sharing, and exposure through APIs, Data Lakes, Data Warehouses, and Data Hubs.

• Provide guidance on platform and Modern Data Stack tool selections, including the Snowflake environment and reusable components.

• Ensure adherence to security, privacy (LGPD), retention, segregation, and governance requirements within the environment.

• Collect business requirements and assist in developing use cases for analytics, BI, interactive dashboards, and operational intelligence.

• Assess risks, dependencies, costs, capacity, and ongoing support needs for the data platform.

• Encourage documentation, technical training, monitoring of market trends, and the evolution of the data ecosystem.

• Prioritize, document, and clearly communicate results and deliverables.

• Identify risks, dependencies, and deviations, implementing action plans and timely escalations.

• Maintain processes, decisions, models, and supporting evidence in a manner that is auditable, efficient, and easily accessible.

• Provide continuous support and optimization for the company’s reports, dashboards, and data infrastructure.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Systems Analysis and Development, Software Engineering, or a related field.

• Significant experience in scalable data architecture, engineering, development, and modeling.

• Advanced proficiency in SQL and Business Intelligence tools (Power BI or equivalent).

• Familiarity with cloud platforms, storage architecture (Data Lake/Lakehouse/Warehouse), ETL/ELT pipelines, and API-based integration.

• Understanding of data governance, quality, security, and privacy principles.

• Practical experience with Python, the Modern Data Stack ecosystem, and Snowflake Data Lake.

• Capability to serve as a bridge between technology and business, translating organizational needs into technical solutions.

• Official data or cloud certifications (AWS, Azure, GCP, Snowflake) are advantageous.

• Experience with operational data in logistics, inventory, assets, or mobility is a plus.

🏝️ Benefits

• The company fosters an ethical, collaborative, and diverse environment.

• Opportunities for continuous learning.

• A commitment to excellence.

• Growth opportunities alongside the team.

• Position is also open to candidates with disabilities.