Data Architect – Data Specialist

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of SysMap Solutions

SysMap Solutions

1001 - 5000 employees

Founded 1999

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.

📋 Description

• Define end-to-end data architecture, including integration, storage, processing, and consumption. • Establish standards for conceptual, logical, and relational/dimensional modeling, data quality, metadata, lineage, and lifecycle management. • Design, optimize, and implement solutions for data ingestion, transformation (ETL/ELT), sharing, and exposure through APIs, Data Lakes, Data Warehouses, and Data Hubs. • Guide platform and Modern Data Stack tool decisions, including the Snowflake environment and reusable components. • Ensure requirements for security, privacy (LGPD), retention, segregation, and governance of the environment. • Gather business requirements and support and develop use cases for analytics, BI, interactive dashboards, and operational intelligence. • Map risks, dependencies, costs, capacity, and ongoing support requirements for the data platform. • Promote documentation, technical training, monitoring of market trends, and the evolution of the data ecosystem. • Prioritize, document, and communicate results and deliverables transparently. • Identify risks, dependencies, and deviations, with action plans and timely escalation. • Maintain processes, decisions, models, and supporting evidence in an auditable, efficient, and easily accessible manner. • Continuously support and optimize 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. • Extensive experience in scalable data architecture, engineering, development, and modeling. • Advanced knowledge of SQL and Business Intelligence tools (Power BI or similar). • Knowledge of cloud platforms, storage architecture (Data Lake/Lakehouse/Warehouse), ETL/ELT pipelines, and API-based integration. • Knowledge of data governance, quality, security, and privacy. • Practical knowledge of Python, the Modern Data Stack ecosystem, and Snowflake Data Lake. • Ability to act as a liaison between technology and business, translating organizational requirements into technical solutions. • Official data or cloud certifications (AWS, Azure, GCP, Snowflake) are a plus. • Experience with operational data in logistics, inventory, assets, or mobility is a plus.

🏖️ Benefits

• The company operates in an ethical, collaborative, and diverse environment • Continuous learning • Commitment to excellence • Opportunities for growth alongside the team • Position also open to candidates with disabilities

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