Data Architect

🕒 July 24

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SysMap Solutions

WebsiteLinkedInAll Job Openings

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

• Design data structures for modern environments (Data Lake, Lakehouse, Data Warehouse); • Support the definition of data architecture and engineering best practices; • Work closely with business areas to understand requirements and design data solutions; • Define and promote standards for data governance, quality, and data organization; • Serve as a technical reference, supporting engineering and analytics teams; • Contribute to the evolution of data pipelines and structures, ensuring adherence to defined models.

🎯 Requirements

• Experience with modern data architectures (Data Lake, Lakehouse, modern Data Warehouse); • Experience with Snowflake is a plus; • Advanced SQL knowledge; • Experience with large-scale data integration and organization; • Experience in high-volume, complex data environments; • Experience with data orchestration and transformation tools; • Previous involvement in architecture modernization projects.